Autonomous Driving on Argoverse CVPR 2020

Metric: minFDE (K=1) (higher is better)

LeaderboardDataset

Loading chart...

Results

Sort:

#	Model↕	minFDE (K=1)▼	Extra Data	Paper	Date↕	Code
1	jwlhs104	57.7046	No	-	-	-
2	Johnny Hsieh	46.7268	No	-	-	-
3	BaseballBro	34.3376	No	-	-	-
4	WST	31.1513	No	-	-	-
5	cxl	25.4924	No	-	-	-
6	Constant velocity map prior	23.7276	No	-	-	-
7	mtz	17.191	No	-	-	-
8	DQS	12.8813	No	-	-	-
9	xjtub09	11.4556	No	-	-	-
10	D0.2	11.3051	No	-	-	-
11	wangwentong	11.0515	No	-	-	-
12	AttnLstmMultiMod_fix	10.8683	No	-	-	-
13	CoderTeam	10.0298	No	-	-	-
14	Whatever	9.7385	No	-	-	-
15	GRU_CVAE	9.5225	No	-	-	-
16	suu	9.5077	No	-	-	-
17	rishabh	9.4305	No	-	-	-
18	Online_CL	8.7522	No	-	-	-
19	ewta	8.6403	No	-	-	-
20	SHM	8.3529	No	-	-	-
21	yellowtaxi	8.1634	No	-	-	-
22	BD	8.1441	No	-	-	-
23	Gilgamesh	8.1197	No	-	-	-
24	NCTU-BNN	8.1197	No	-	-	-
25	ffffx	8.0293	No	-	-	-
26	randommm	8.0179	No	-	-	-
27	zlewe	7.8875	No	-	-	-
28	NCTU_309512033	7.8875	No	-	-	-
29	null	7.8875	No	-	-	-
30	baseline_argo_contant_vel_01	7.8875	No	-	-	-
31	test_1	7.8875	No	-	-	-
32	mmmddd	7.8875	No	-	-	-
33	NCTU-heheEECS	7.8828	No	-	-	-
34	NN(map)	7.8828	No	-	-	-
35	NN	7.8828	No	-	-	-
36	hell	7.8828	No	-	-	-
37	RuSheng	7.7392	No	-	-	-
38	Speculators	7.6186	No	-	-	-
39	HYU_ACE	7.4546	No	-	-	-
40	Tim	7.4299	No	-	-	-
41	Ruochen	7.2377	No	-	-	-
42	hale	7.0702	No	-	-	-
43	rush	7.0697	No	-	-	-
44	zs	7.0155	No	-	-	-
45	Trial	6.992	No	-	-	-
46	Aaron Huang	6.8853	No	-	-	-
47	llh	6.8301	No	-	-	-
48	Funtastic_4casting	6.8116	No	-	-	-
49	Constant-V-Forecating(very very naive)	6.8116	No	-	-	-
50	DeepPrediction	6.8116	No	-	-	-
51	lllsssjQuery33108037804872914465_1678097593292	6.8116	No	-	-	-
52	MT-PNC	6.8116	No	-	-	-
53	naive method test	6.8116	No	-	-	-
54	default	6.8116	No	-	-	-
55	efficent and adaptive	6.8116	No	-	-	-
56	xjh199923	6.7766	No	-	-	-
57	vectornet	6.7247	No	-	-	-
58	Model Agnostic Meta Learning	6.688	No	-	-	-
59	parallel_tl_123_0224	6.6845	No	-	-	-
60	6 mode model	6.6511	No	-	-	-
61	Holmes	6.5416	No	-	-	-
62	TangBug	6.5063	No	-	-	-
63	HH	6.457	No	-	-	-
64	Alice_Bob	6.4175	No	-	-	-
65	gogogo_zhigang	6.4158	No	-	-	-
66	posterior with best parameters	6.3946	No	-	-	-
67	Anonymous1234	6.3673	No	-	-	-
68	lixin	6.2682	No	-	-	-
69	pph	6.1954	No	-	-	-
70	haomo	6.1586	No	-	-	-
71	zys	6.0771	No	-	-	-
72	Vi yulia 51 prob	6.0524	No	-	-	-
73	Map Static+Specific	6.029	No	-	-	-
74	bartosz	5.999	No	-	-	-
75	xmy	5.9819	No	-	-	-
76	lstm+cnn	5.8451	No	-	-	-
77	Waldo	5.8257	No	-	-	-
78	baguette	5.8239	No	-	-	-
79	gg6666	5.8185	No	-	-	-
80	huhu	5.7482	No	-	-	-
81	fs_test	5.7465	No	-	-	-
82	multimodal	5.7132	No	-	-	-
83	deleted_accout_because_of_submission_error	5.6608	No	-	-	-
84	0626	5.6038	No	-	-	-
85	adl	5.5965	No	-	-	-
86	Multiple Trajectories	5.488	No	-	-	-
87	que_anr	5.4732	No	-	-	-
88	BNet-2S	5.4621	No	-	-	-
89	haomokeji	5.451	No	-	-	-
90	slf	5.3231	No	-	-	-
91	team_moe	5.2943	No	-	-	-
92	fs	5.2734	No	-	-	-
93	grip	5.2717	No	-	-	-
94	DGA_lg	5.1875	No	-	-	-
95	msms	5.1581	No	-	-	-
96	LSTMs	5.1534	No	-	-	-
97	par	5.1247	No	-	-	-
98	NCTU-GPL-GPAL	5.0944	No	-	-	-
99	Tang Luqi	5.0682	No	-	-	-
100	Anchor	5.0578	No	-	-	-
101	miaomiao	5.054	No	-	-	-
102	mt_navi	5.053	No	-	-	-
103	GoodMountain	5.0224	No	-	-	-
104	DF-RNN	5.0216	No	-	-	-
105	Habitat-Web	4.9593	No	-	-	-
106	TNT - CoRL20	4.9593	No	TNT: Target-driveN Trajectory Prediction	2020-08-19	Code
107	Challenge	4.9209	No	-	-	-
108	JMT	4.915	No	-	-	-
109	Xiaogang	4.8748	No	-	-	-
110	Parallel x-transformers version1.1	4.8659	No	-	-	-
111	El Camino	4.8418	No	-	-	-
112	timtim	4.8259	No	-	-	-
113	Fong	4.7064	No	-	-	-
114	huangmozhi	4.6642	No	-	-	-
115	TNT_20220819	4.6325	No	-	-	-
116	raster-to-svg-train(t70.5k-train120k)1e-4-2-bs5-39k	4.6211	No	-	-	-
117	CMAN(av1_demo)	4.5807	No	-	-	-
118	huangmozhi9527	4.5299	No	-	-	-
119	cls-token-transfer208k	4.5196	No	-	-	-
120	zhanzhenxueyuan	4.4898	No	-	-	-
121	arky	4.3966	No	-	-	-
122	Extended-Social-LSTM	4.3927	No	-	-	-
123	TrajectoryOracle	4.345	No	-	-	-
124	SCP	4.3111	No	-	-	-
125	Alibaba-ADLab	4.3037	No	-	-	-
126	ln	4.2923	No	-	-	-
127	lagat_mm	4.2854	No	-	-	-
128	Social-CVAE	4.2738	No	-	-	-
129	raster_v2	4.2673	No	-	-	-
130	lstm	4.2597	No	-	-	-
131	Jean	4.2372	No	-	-	-
132	player	4.2353	No	-	-	-
133	TestForecast	4.227	No	-	-	-
134	somemethod	4.2265	No	-	-	-
135	leige	4.2259	No	-	-	-
136	SCP	4.2119	No	-	-	-
137	tmtkinu	4.1982	No	-	-	-
138	Array	4.194	No	-	-	-
139	uulm-mrm	4.1917	No	-	-	-
140	HGO (K=6)	4.1783	No	-	-	-
141	tjxu	4.1704	No	-	-	-
142	tusiji12138	4.1642	No	-	-	-
143	idlaber-Hans	4.1511	No	-	-	-
144	tnt-mtp_100s_targetloss_1-1_6	4.1366	No	-	-	-
145	xjh	4.1274	No	-	-	-
146	tp	4.1231	No	-	-	-
147	FGNet	4.1163	No	-	-	-
148	vector-net-latest	4.1159	No	-	-	-
149	AutoBot-Ego	4.1061	No	-	-	-
150	lanegcn_pimp_curr_sgd	4.1008	No	-	-	-
151	phuang	4.0972	No	-	-	-
152	UAR	4.0927	No	-	-	-
153	chant	4.0875	No	-	-	-
154	CRAT-Pred	4.0576	No	CRAT-Pred: Vehicle Trajectory Prediction with Cr...	2022-02-09	Code
155	SceneTransformer	4.0551	No	-	-	-
156	MR	4.0418	No	-	-	-
157	JAL-MTP	4.0415	No	-	-	-
158	HTTP	4.0309	No	-	-	-
159	wimp	4.0307	No	-	-	-
160	MTN	4.0235	No	-	-	-
161	ulimit	4.0114	No	-	-	-
162	MultiLine	4.01	No	-	-	-
163	dis102500	4.0092	No	-	-	-
164	mmTransformer	4.0033	No	-	-	-
165	1mode-groupEmbed-160000	3.9973	No	-	-	-
166	1mode-groupEmbed-106000	3.9861	No	-	-	-
167	ORIGINAL	3.9852	No	-	-	-
168	wo_longterm	3.9733	No	-	-	-
169	Tang Luqi	3.9418	No	-	-	-
170	Model0	3.9297	No	-	-	-
171	ISY@TK	3.9079	No	-	-	-
172	FTGN	3.9031	No	Trajectory Forecasting on Temporal Graphs	2022-07-01	Code
173	fyyclass	3.9013	No	-	-	-
174	Waypoint	3.9007	No	-	-	-
175	Tang Luqi	3.9003	No	-	-	-
176	l_DGA_lg	3.8981	No	-	-	-
177	sample_replace_gt_smalln_82	3.8782	No	-	-	-
178	mmppgg	3.8707	No	-	-	-
179	SCM+Distill(best model)	3.8623	No	-	-	-
180	LaneGCN-s	3.8592	No	-	-	-
181	cxx	3.8532	No	-	-	-
182	sihong	3.8482	No	-	-	-
183	Shangguan_IFS	3.8476	No	-	-	-
184	numberEight	3.8435	No	-	-	-
185	huyuening	3.8359	No	-	-	-
186	pred	3.8357	No	-	-	-
187	gcu_v2	3.827	No	-	-	-
188	PRANK	3.8239	No	PRANK: motion Prediction based on RANKing	2020-10-22	-
189	PRANK	3.8239	No	PRANK: motion Prediction based on RANKing	2020-10-22	-
190	LaneGCN-trainset-36	3.8222	No	-	-	-
191	PRIME	3.8217	No	-	-	-
192	argo_test_18_5m_add_rotation_change_data_change_model_3_01	3.8216	No	-	-	-
193	lanegcn_12_epoch	3.8171	No	-	-	-
194	s1	3.8039	No	-	-	-
195	lengyue	3.801	No	-	-	-
196	William	3.7985	No	-	-	-
197	fyyyy	3.7966	No	-	-	-
198	Transformer1	3.7918	No	-	-	-
199	Lotus	3.7874	No	-	-	-
200	Lane_vae	3.7832	No	-	-	-
201	15 train 40e	3.7827	No	-	-	-
202	yiqi-fudan	3.7811	No	-	-	-
203	LGN	3.7786	No	-	-	-
204	scale4	3.775	No	-	-	-
205	mm_kk_parallel_distemb_91	3.7724	No	-	-	-
206	Europa	3.7705	No	-	-	-
207	YuNi	3.7643	No	-	-	-
208	watson	3.7643	No	-	-	-
209	CY_ng	3.7643	No	-	-	-
210	cbc	3.7643	No	-	-	-
211	julie-1	3.7643	No	-	-	-
212	ywyeh	3.7643	No	-	-	-
213	hitchhiker	3.7643	No	-	-	-
214	alfred	3.7643	No	-	-	-
215	leon	3.7642	No	-	-	-
216	hitljx_test_sub	3.7642	No	-	-	-
217	chailiang	3.7642	No	-	-	-
218	zhousihong	3.7642	No	-	-	-
219	vill	3.7626	No	-	-	-
220	LaneGCN	3.7624	No	-	-	-
221	MFT	3.7588	No	-	-	-
222	Jack-M	3.7582	No	-	-	-
223	SenseTime_AP	3.7573	No	-	-	-
224	damplyv1	3.7541	No	-	-	-
225	mymodel7_actornet_2_mapnet_a2m_a2a_222	3.7496	No	-	-	-
226	FRM	3.7486	No	Leveraging Future Relationship Reasoning for Veh...	2023-05-24	-
227	prediction-liangdian	3.7477	No	-	-	-
228	(VI)	3.7418	No	-	-	-
229	abac	3.7406	No	-	-	-
230	vilab	3.7395	No	-	-	-
231	vi_avp	3.7274	No	-	-	-
232	daiyongjie	3.7242	No	-	-	-
233	DSP	3.7087	No	-	-	-
234	Miss Rate	3.6961	No	-	-	-
235	88	3.6951	No	-	-	-
236	LaneRCNN (IROS 2021)	3.6916	No	LaneRCNN: Distributed Representations for Graph-...	2021-01-17	-
237	just_a_test	3.6886	No	-	-	-
238	TPA+Laneloss	3.6837	No	-	-	-
239	HOME + GOHOME	3.681	No	HOME: Heatmap Output for future Motion Estimation	2021-05-23	Code
240	cul2	3.6689	No	-	-	-
241	Hi_base	3.662	No	-	-	-
242	ATDSNet-v2	3.6604	No	-	-	-
243	brier36	3.6581	No	-	-	-
244	cls-weight1-5	3.6568	No	-	-	-
245	Wayformer	3.6559	No	Wayformer: Motion Forecasting via Simple & Effic...	2022-07-12	Code
246	ToNet	3.6518	No	-	-	-
247	FGNet_sub	3.6496	No	-	-	-
248	MSPre	3.6489	No	-	-	-
249	GOHOME	3.6468	No	GOHOME: Graph-Oriented Heatmap Output for future...	2021-09-04	-
250	minFDE	3.6321	No	-	-	-
251	xia	3.6269	No	-	-	-
252	cls_weight1.2-decoder5-use-last	3.6226	No	-	-	-
253	multipath++	3.6141	No	MultiPath++: Efficient Information Fusion and Tr...	2021-11-29	Code
254	decoder-3-last	3.614	No	-	-	-
255	ECARX-V1	3.6103	No	-	-	-
256	MacFormer	3.6081	No	TENET: Transformer Encoding Network for Effectiv...	2022-06-30	-
257	lstm_v1	3.6029	No	-	-	-
258	THOMAS	3.593	No	THOMAS: Trajectory Heatmap Output with learned M...	2021-10-13	-
259	DIDI	3.5879	No	-	-	-
260	vectorgcn	3.5851	No	-	-	-
261	matrix_mugen	3.5825	No	-	-	-
262	whr_test	3.58	No	-	-	-
263	DTNet(FDE)	3.5752	No	-	-	-
264	SSL-Lanes	3.5643	No	SSL-Lanes: Self-Supervised Learning for Motion F...	2022-06-28	Code
265	Dcupqiu	3.5641	No	-	-	-
266	m2a2_34	3.5573	No	-	-	-
267	be_s2lossf_3846	3.5572	No	-	-	-
268	CU-aware LaneGCN	3.5508	No	-	-	-
269	ATTTHOM	3.5505	No	-	-	-
270	LTP	3.5485	No	-	-	-
271	HiVT-128	3.5328	No	-	-	Code
272	HIKVISION-ADLab-hz	3.5263	No	-	-	-
273	ussm v2-SAIPS	3.5154	No	-	-	-
274	TO	3.5116	No	-	-	-
275	chl(yiqi)	3.5087	No	-	-	-
276	Met	3.4945	No	-	-	-
277	TPCN	3.4872	No	TPCN: Temporal Point Cloud Networks for Motion F...	2021-03-04	-
278	lt_tv_cont	3.4838	No	-	-	-
279	R-Pred	3.4718	No	R-Pred: Two-Stage Motion Prediction Via Tube-Que...	2022-11-16	-
280	EuclidNet-L	3.47	No	-	-	-
281	Ameame	3.4648	No	-	-	-
282	GANet	3.4548	No	GANet: Goal Area Network for Motion Forecasting	2022-09-20	Code
283	LAformer	3.4533	No	-	-	-
284	ProIn_av1	3.4467	No	-	-	-
285	HiVT++	3.4449	No	-	-	Code
286	Holistic Transformer	3.4284	No	Holistic Transformer: A Joint Neural Network for...	2022-06-17	-
287	Gnet	3.4067	No	-	-	-
288	PAGA	3.3814	No	-	-	-
289	TSGN	3.3645	No	-	-	-
290	shernan_wu	3.3621	No	-	-	-
291	FFINet	3.3611	No	-	-	-
292	QCNet	3.342	No	-	-	Code
293	TPCN++	3.3297	No	-	-	-
294	DuanZX	3.3216	No	-	-	-
295	lt_cont_k6	3.2923	No	-	-	-
296	VI LaneIter	3.2849	No	-	-	-
297	ProphNet	3.2628	No	-	-	-
298	DCMS	3.2515	No	Bootstrap Motion Forecasting With Self-Consisten...	2022-04-12	-
299	SEPT	3.1777	No	-	-	-

#1jwlhs104
57.7046
minFDE (K=1)
No paper
#2Johnny Hsieh
46.7268
minFDE (K=1)
No paper
#3BaseballBro
34.3376
minFDE (K=1)
No paper
#4WST
31.1513
minFDE (K=1)
No paper
#5cxl
25.4924
minFDE (K=1)
No paper
#6Constant velocity map prior
23.7276
minFDE (K=1)
No paper
#7mtz
17.191
minFDE (K=1)
No paper
#8DQS
12.8813
minFDE (K=1)
No paper
#9xjtub09
11.4556
minFDE (K=1)
No paper
#10D0.2
11.3051
minFDE (K=1)
No paper
#11wangwentong
11.0515
minFDE (K=1)
No paper
#12AttnLstmMultiMod_fix
10.8683
minFDE (K=1)
No paper
#13CoderTeam
10.0298
minFDE (K=1)
No paper
#14Whatever
9.7385
minFDE (K=1)
No paper
#15GRU_CVAE
9.5225
minFDE (K=1)
No paper
#16suu
9.5077
minFDE (K=1)
No paper
#17rishabh
9.4305
minFDE (K=1)
No paper
#18Online_CL
8.7522
minFDE (K=1)
No paper
#19ewta
8.6403
minFDE (K=1)
No paper
#20SHM
8.3529
minFDE (K=1)
No paper
#21yellowtaxi
8.1634
minFDE (K=1)
No paper
#22BD
8.1441
minFDE (K=1)
No paper
#23Gilgamesh
8.1197
minFDE (K=1)
No paper
#24NCTU-BNN
8.1197
minFDE (K=1)
No paper
#25ffffx
8.0293
minFDE (K=1)
No paper
#26randommm
8.0179
minFDE (K=1)
No paper
#27zlewe
7.8875
minFDE (K=1)
No paper
#28NCTU_309512033
7.8875
minFDE (K=1)
No paper
#29null
7.8875
minFDE (K=1)
No paper
#30baseline_argo_contant_vel_01
7.8875
minFDE (K=1)
No paper
#31test_1
7.8875
minFDE (K=1)
No paper
#32mmmddd
7.8875
minFDE (K=1)
No paper
#33NCTU-heheEECS
7.8828
minFDE (K=1)
No paper
#34NN(map)
7.8828
minFDE (K=1)
No paper
#35NN
7.8828
minFDE (K=1)
No paper
#36hell
7.8828
minFDE (K=1)
No paper
#37RuSheng
7.7392
minFDE (K=1)
No paper
#38Speculators
7.6186
minFDE (K=1)
No paper
#39HYU_ACE
7.4546
minFDE (K=1)
No paper
#40Tim
7.4299
minFDE (K=1)
No paper
#41Ruochen
7.2377
minFDE (K=1)
No paper
#42hale
7.0702
minFDE (K=1)
No paper
#43rush
7.0697
minFDE (K=1)
No paper
#44zs
7.0155
minFDE (K=1)
No paper
#45Trial
6.992
minFDE (K=1)
No paper
#46Aaron Huang
6.8853
minFDE (K=1)
No paper
#47llh
6.8301
minFDE (K=1)
No paper
#48Funtastic_4casting
6.8116
minFDE (K=1)
No paper
#49Constant-V-Forecating(very very naive)
6.8116
minFDE (K=1)
No paper
#50DeepPrediction
6.8116
minFDE (K=1)
No paper
#51lllsssjQuery33108037804872914465_1678097593292
6.8116
minFDE (K=1)
No paper
#52MT-PNC
6.8116
minFDE (K=1)
No paper
#53naive method test
6.8116
minFDE (K=1)
No paper
#54default
6.8116
minFDE (K=1)
No paper
#55efficent and adaptive
6.8116
minFDE (K=1)
No paper
#56xjh199923
6.7766
minFDE (K=1)
No paper
#57vectornet
6.7247
minFDE (K=1)
No paper
#58Model Agnostic Meta Learning
6.688
minFDE (K=1)
No paper
#59parallel_tl_123_0224
6.6845
minFDE (K=1)
No paper
#606 mode model
6.6511
minFDE (K=1)
No paper
#61Holmes
6.5416
minFDE (K=1)
No paper
#62TangBug
6.5063
minFDE (K=1)
No paper
#63HH
6.457
minFDE (K=1)
No paper
#64Alice_Bob
6.4175
minFDE (K=1)
No paper
#65gogogo_zhigang
6.4158
minFDE (K=1)
No paper
#66posterior with best parameters
6.3946
minFDE (K=1)
No paper
#67Anonymous1234
6.3673
minFDE (K=1)
No paper
#68lixin
6.2682
minFDE (K=1)
No paper
#69pph
6.1954
minFDE (K=1)
No paper
#70haomo
6.1586
minFDE (K=1)
No paper
#71zys
6.0771
minFDE (K=1)
No paper
#72Vi yulia 51 prob
6.0524
minFDE (K=1)
No paper
#73Map Static+Specific
6.029
minFDE (K=1)
No paper
#74bartosz
5.999
minFDE (K=1)
No paper
#75xmy
5.9819
minFDE (K=1)
No paper
#76lstm+cnn
5.8451
minFDE (K=1)
No paper
#77Waldo
5.8257
minFDE (K=1)
No paper
#78baguette
5.8239
minFDE (K=1)
No paper
#79gg6666
5.8185
minFDE (K=1)
No paper
#80huhu
5.7482
minFDE (K=1)
No paper
#81fs_test
5.7465
minFDE (K=1)
No paper
#82multimodal
5.7132
minFDE (K=1)
No paper
#83deleted_accout_because_of_submission_error
5.6608
minFDE (K=1)
No paper
#840626
5.6038
minFDE (K=1)
No paper
#85adl
5.5965
minFDE (K=1)
No paper
#86Multiple Trajectories
5.488
minFDE (K=1)
No paper
#87que_anr
5.4732
minFDE (K=1)
No paper
#88BNet-2S
5.4621
minFDE (K=1)
No paper
#89haomokeji
5.451
minFDE (K=1)
No paper
#90slf
5.3231
minFDE (K=1)
No paper
#91team_moe
5.2943
minFDE (K=1)
No paper
#92fs
5.2734
minFDE (K=1)
No paper
#93grip
5.2717
minFDE (K=1)
No paper
#94DGA_lg
5.1875
minFDE (K=1)
No paper
#95msms
5.1581
minFDE (K=1)
No paper
#96LSTMs
5.1534
minFDE (K=1)
No paper
#97par
5.1247
minFDE (K=1)
No paper
#98NCTU-GPL-GPAL
5.0944
minFDE (K=1)
No paper
#99Tang Luqi
5.0682
minFDE (K=1)
No paper
#100Anchor
5.0578
minFDE (K=1)
No paper
#101miaomiao
5.054
minFDE (K=1)
No paper
#102mt_navi
5.053
minFDE (K=1)
No paper
#103GoodMountain
5.0224
minFDE (K=1)
No paper
#104DF-RNN
5.0216
minFDE (K=1)
No paper
#105Habitat-Web
4.9593
minFDE (K=1)
No paper
#106TNT - CoRL20SOTA
4.9593
minFDE (K=1)· 2020-08-19
TNT: Target-driveN Trajectory Prediction Code
#107Challenge
4.9209
minFDE (K=1)
No paper
#108JMT
4.915
minFDE (K=1)
No paper
#109Xiaogang
4.8748
minFDE (K=1)
No paper
#110Parallel x-transformers version1.1
4.8659
minFDE (K=1)
No paper
#111El Camino
4.8418
minFDE (K=1)
No paper
#112timtim
4.8259
minFDE (K=1)
No paper
#113Fong
4.7064
minFDE (K=1)
No paper
#114huangmozhi
4.6642
minFDE (K=1)
No paper
#115TNT_20220819
4.6325
minFDE (K=1)
No paper
#116raster-to-svg-train(t70.5k-train120k)1e-4-2-bs5-39k
4.6211
minFDE (K=1)
No paper
#117CMAN(av1_demo)
4.5807
minFDE (K=1)
No paper
#118huangmozhi9527
4.5299
minFDE (K=1)
No paper
#119cls-token-transfer208k
4.5196
minFDE (K=1)
No paper
#120zhanzhenxueyuan
4.4898
minFDE (K=1)
No paper
#121arky
4.3966
minFDE (K=1)
No paper
#122Extended-Social-LSTM
4.3927
minFDE (K=1)
No paper
#123TrajectoryOracle
4.345
minFDE (K=1)
No paper
#124SCP
4.3111
minFDE (K=1)
No paper
#125Alibaba-ADLab
4.3037
minFDE (K=1)
No paper
#126ln
4.2923
minFDE (K=1)
No paper
#127lagat_mm
4.2854
minFDE (K=1)
No paper
#128Social-CVAE
4.2738
minFDE (K=1)
No paper
#129raster_v2
4.2673
minFDE (K=1)
No paper
#130lstm
4.2597
minFDE (K=1)
No paper
#131Jean
4.2372
minFDE (K=1)
No paper
#132player
4.2353
minFDE (K=1)
No paper
#133TestForecast
4.227
minFDE (K=1)
No paper
#134somemethod
4.2265
minFDE (K=1)
No paper
#135leige
4.2259
minFDE (K=1)
No paper
#136SCP
4.2119
minFDE (K=1)
No paper
#137tmtkinu
4.1982
minFDE (K=1)
No paper
#138Array
4.194
minFDE (K=1)
No paper
#139uulm-mrm
4.1917
minFDE (K=1)
No paper
#140HGO (K=6)
4.1783
minFDE (K=1)
No paper
#141tjxu
4.1704
minFDE (K=1)
No paper
#142tusiji12138
4.1642
minFDE (K=1)
No paper
#143idlaber-Hans
4.1511
minFDE (K=1)
No paper
#144tnt-mtp_100s_targetloss_1-1_6
4.1366
minFDE (K=1)
No paper
#145xjh
4.1274
minFDE (K=1)
No paper
#146tp
4.1231
minFDE (K=1)
No paper
#147FGNet
4.1163
minFDE (K=1)
No paper
#148vector-net-latest
4.1159
minFDE (K=1)
No paper
#149AutoBot-Ego
4.1061
minFDE (K=1)
No paper
#150lanegcn_pimp_curr_sgd
4.1008
minFDE (K=1)
No paper
#151phuang
4.0972
minFDE (K=1)
No paper
#152UAR
4.0927
minFDE (K=1)
No paper
#153chant
4.0875
minFDE (K=1)
No paper
#154CRAT-Pred
4.0576
minFDE (K=1)· 2022-02-09
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention Code
#155SceneTransformer
4.0551
minFDE (K=1)
No paper
#156MR
4.0418
minFDE (K=1)
No paper
#157JAL-MTP
4.0415
minFDE (K=1)
No paper
#158HTTP
4.0309
minFDE (K=1)
No paper
#159wimp
4.0307
minFDE (K=1)
No paper
#160MTN
4.0235
minFDE (K=1)
No paper
#161ulimit
4.0114
minFDE (K=1)
No paper
#162MultiLine
4.01
minFDE (K=1)
No paper
#163dis102500
4.0092
minFDE (K=1)
No paper
#164mmTransformer
4.0033
minFDE (K=1)
No paper
#1651mode-groupEmbed-160000
3.9973
minFDE (K=1)
No paper
#1661mode-groupEmbed-106000
3.9861
minFDE (K=1)
No paper
#167ORIGINAL
3.9852
minFDE (K=1)
No paper
#168wo_longterm
3.9733
minFDE (K=1)
No paper
#169Tang Luqi
3.9418
minFDE (K=1)
No paper
#170Model0
3.9297
minFDE (K=1)
No paper
#171ISY@TK
3.9079
minFDE (K=1)
No paper
#172FTGN
3.9031
minFDE (K=1)· 2022-07-01
Trajectory Forecasting on Temporal Graphs Code
#173fyyclass
3.9013
minFDE (K=1)
No paper
#174Waypoint
3.9007
minFDE (K=1)
No paper
#175Tang Luqi
3.9003
minFDE (K=1)
No paper
#176l_DGA_lg
3.8981
minFDE (K=1)
No paper
#177sample_replace_gt_smalln_82
3.8782
minFDE (K=1)
No paper
#178mmppgg
3.8707
minFDE (K=1)
No paper
#179SCM+Distill(best model)
3.8623
minFDE (K=1)
No paper
#180LaneGCN-s
3.8592
minFDE (K=1)
No paper
#181cxx
3.8532
minFDE (K=1)
No paper
#182sihong
3.8482
minFDE (K=1)
No paper
#183Shangguan_IFS
3.8476
minFDE (K=1)
No paper
#184numberEight
3.8435
minFDE (K=1)
No paper
#185huyuening
3.8359
minFDE (K=1)
No paper
#186pred
3.8357
minFDE (K=1)
No paper
#187gcu_v2
3.827
minFDE (K=1)
No paper
#188PRANK
3.8239
minFDE (K=1)· 2020-10-22
PRANK: motion Prediction based on RANKing
#189PRANK
3.8239
minFDE (K=1)· 2020-10-22
PRANK: motion Prediction based on RANKing
#190LaneGCN-trainset-36
3.8222
minFDE (K=1)
No paper
#191PRIME
3.8217
minFDE (K=1)
No paper
#192argo_test_18_5m_add_rotation_change_data_change_model_3_01
3.8216
minFDE (K=1)
No paper
#193lanegcn_12_epoch
3.8171
minFDE (K=1)
No paper
#194s1
3.8039
minFDE (K=1)
No paper
#195lengyue
3.801
minFDE (K=1)
No paper
#196William
3.7985
minFDE (K=1)
No paper
#197fyyyy
3.7966
minFDE (K=1)
No paper
#198Transformer1
3.7918
minFDE (K=1)
No paper
#199Lotus
3.7874
minFDE (K=1)
No paper
#200Lane_vae
3.7832
minFDE (K=1)
No paper
#20115 train 40e
3.7827
minFDE (K=1)
No paper
#202yiqi-fudan
3.7811
minFDE (K=1)
No paper
#203LGN
3.7786
minFDE (K=1)
No paper
#204scale4
3.775
minFDE (K=1)
No paper
#205mm_kk_parallel_distemb_91
3.7724
minFDE (K=1)
No paper
#206Europa
3.7705
minFDE (K=1)
No paper
#207YuNi
3.7643
minFDE (K=1)
No paper
#208watson
3.7643
minFDE (K=1)
No paper
#209CY_ng
3.7643
minFDE (K=1)
No paper
#210cbc
3.7643
minFDE (K=1)
No paper
#211julie-1
3.7643
minFDE (K=1)
No paper
#212ywyeh
3.7643
minFDE (K=1)
No paper
#213hitchhiker
3.7643
minFDE (K=1)
No paper
#214alfred
3.7643
minFDE (K=1)
No paper
#215leon
3.7642
minFDE (K=1)
No paper
#216hitljx_test_sub
3.7642
minFDE (K=1)
No paper
#217chailiang
3.7642
minFDE (K=1)
No paper
#218zhousihong
3.7642
minFDE (K=1)
No paper
#219vill
3.7626
minFDE (K=1)
No paper
#220LaneGCN
3.7624
minFDE (K=1)
No paper
#221MFT
3.7588
minFDE (K=1)
No paper
#222Jack-M
3.7582
minFDE (K=1)
No paper
#223SenseTime_AP
3.7573
minFDE (K=1)
No paper
#224damplyv1
3.7541
minFDE (K=1)
No paper
#225mymodel7_actornet_2_mapnet_a2m_a2a_222
3.7496
minFDE (K=1)
No paper
#226FRM
3.7486
minFDE (K=1)· 2023-05-24
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
#227prediction-liangdian
3.7477
minFDE (K=1)
No paper
#228(VI)
3.7418
minFDE (K=1)
No paper
#229abac
3.7406
minFDE (K=1)
No paper
#230vilab
3.7395
minFDE (K=1)
No paper
#231vi_avp
3.7274
minFDE (K=1)
No paper
#232daiyongjie
3.7242
minFDE (K=1)
No paper
#233DSP
3.7087
minFDE (K=1)
No paper
#234Miss Rate
3.6961
minFDE (K=1)
No paper
#23588
3.6951
minFDE (K=1)
No paper
#236LaneRCNN (IROS 2021)
3.6916
minFDE (K=1)· 2021-01-17
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
#237just_a_test
3.6886
minFDE (K=1)
No paper
#238TPA+Laneloss
3.6837
minFDE (K=1)
No paper
#239HOME + GOHOME
3.681
minFDE (K=1)· 2021-05-23
HOME: Heatmap Output for future Motion Estimation Code
#240cul2
3.6689
minFDE (K=1)
No paper
#241Hi_base
3.662
minFDE (K=1)
No paper
#242ATDSNet-v2
3.6604
minFDE (K=1)
No paper
#243brier36
3.6581
minFDE (K=1)
No paper
#244cls-weight1-5
3.6568
minFDE (K=1)
No paper
#245Wayformer
3.6559
minFDE (K=1)· 2022-07-12
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks Code
#246ToNet
3.6518
minFDE (K=1)
No paper
#247FGNet_sub
3.6496
minFDE (K=1)
No paper
#248MSPre
3.6489
minFDE (K=1)
No paper
#249GOHOME
3.6468
minFDE (K=1)· 2021-09-04
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation
#250minFDE
3.6321
minFDE (K=1)
No paper
#251xia
3.6269
minFDE (K=1)
No paper
#252cls_weight1.2-decoder5-use-last
3.6226
minFDE (K=1)
No paper
#253multipath++
3.6141
minFDE (K=1)· 2021-11-29
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction Code
#254decoder-3-last
3.614
minFDE (K=1)
No paper
#255ECARX-V1
3.6103
minFDE (K=1)
No paper
#256MacFormer
3.6081
minFDE (K=1)· 2022-06-30
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction
#257lstm_v1
3.6029
minFDE (K=1)
No paper
#258THOMAS
3.593
minFDE (K=1)· 2021-10-13
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
#259DIDI
3.5879
minFDE (K=1)
No paper
#260vectorgcn
3.5851
minFDE (K=1)
No paper
#261matrix_mugen
3.5825
minFDE (K=1)
No paper
#262whr_test
3.58
minFDE (K=1)
No paper
#263DTNet(FDE)
3.5752
minFDE (K=1)
No paper
#264SSL-Lanes
3.5643
minFDE (K=1)· 2022-06-28
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving Code
#265Dcupqiu
3.5641
minFDE (K=1)
No paper
#266m2a2_34
3.5573
minFDE (K=1)
No paper
#267be_s2lossf_3846
3.5572
minFDE (K=1)
No paper
#268CU-aware LaneGCN
3.5508
minFDE (K=1)
No paper
#269ATTTHOM
3.5505
minFDE (K=1)
No paper
#270LTP
3.5485
minFDE (K=1)
No paper
#271HiVT-128
3.5328
minFDE (K=1)
No paperCode
#272HIKVISION-ADLab-hz
3.5263
minFDE (K=1)
No paper
#273ussm v2-SAIPS
3.5154
minFDE (K=1)
No paper
#274TO
3.5116
minFDE (K=1)
No paper
#275chl(yiqi)
3.5087
minFDE (K=1)
No paper
#276Met
3.4945
minFDE (K=1)
No paper
#277TPCN
3.4872
minFDE (K=1)· 2021-03-04
TPCN: Temporal Point Cloud Networks for Motion Forecasting
#278lt_tv_cont
3.4838
minFDE (K=1)
No paper
#279R-Pred
3.4718
minFDE (K=1)· 2022-11-16
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement
#280EuclidNet-L
3.47
minFDE (K=1)
No paper
#281Ameame
3.4648
minFDE (K=1)
No paper
#282GANet
3.4548
minFDE (K=1)· 2022-09-20
GANet: Goal Area Network for Motion Forecasting Code
#283LAformer
3.4533
minFDE (K=1)
No paper
#284ProIn_av1
3.4467
minFDE (K=1)
No paper
#285HiVT++
3.4449
minFDE (K=1)
No paperCode
#286Holistic Transformer
3.4284
minFDE (K=1)· 2022-06-17
Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles
#287Gnet
3.4067
minFDE (K=1)
No paper
#288PAGA
3.3814
minFDE (K=1)
No paper
#289TSGN
3.3645
minFDE (K=1)
No paper
#290shernan_wu
3.3621
minFDE (K=1)
No paper
#291FFINet
3.3611
minFDE (K=1)
No paper
#292QCNet
3.342
minFDE (K=1)
No paperCode
#293TPCN++
3.3297
minFDE (K=1)
No paper
#294DuanZX
3.3216
minFDE (K=1)
No paper
#295lt_cont_k6
3.2923
minFDE (K=1)
No paper
#296VI LaneIter
3.2849
minFDE (K=1)
No paper
#297ProphNet
3.2628
minFDE (K=1)
No paper
#298DCMS
3.2515
minFDE (K=1)· 2022-04-12
Bootstrap Motion Forecasting With Self-Consistent Constraints
#299SEPT
3.1777
minFDE (K=1)
No paper