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SotA/Robots/Autonomous Driving/Argoverse CVPR 2020

Autonomous Driving on Argoverse CVPR 2020

Metric: minFDE (K=6) (higher is better)

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Results

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#Model↕minFDE (K=6)▼Extra DataPaperDate↕Code
1WST25.7113No---
2BaseballBro23.657No---
3Constant velocity map prior22.6995No---
4DQS12.8813No---
5xjtub0911.4556No---
6suu9.5077No---
7Online_CL8.7522No---
8yellowtaxi8.1634No---
9BD8.1441No---
10ffffx8.0293No---
11zlewe7.8875No---
12NCTU_3095120337.8875No---
13null7.8875No---
14baseline_argo_contant_vel_017.8875No---
15test_17.8875No---
16RuSheng7.7392No---
17mmmddd7.5673No---
18Trial6.992No---
19vectornet6.7247No---
20HH6.457No---
21gogogo_zhigang6.4158No---
22pph6.1954No---
23haomo6.1586No---
24zys6.0771No---
25Waldo5.8257No---
26baguette5.8239No---
27gg66665.8185No---
28jwlhs1045.6417No---
29Johnny Hsieh5.5987No---
30que_anr5.4732No---
31haomokeji5.451No---
32Funtastic_4casting5.437No---
33Constant-V-Forecating(very very naive)5.437No---
34DeepPrediction5.437No---
35lllsssjQuery33108037804872914465_16780975932925.437No---
36MT-PNC5.437No---
37naive method test5.437No---
38default5.437No---
39efficent and adaptive5.437No---
40lstm+cnn5.362No---
41grip5.2717No---
42LSTMs5.1534No---
43par5.1247No---
44Tang Luqi5.0682No---
45miaomiao5.054No---
46GoodMountain5.0224No---
47slf5.0003No---
48zs4.9738No---
49Ruochen4.9364No---
50Challenge4.9209No---
51D0.24.9126No---
52rishabh4.7874No---
53Xiaogang4.7755No---
54cxl4.7166No---
55posterior with best parameters4.6394No---
56raster-to-svg-train(t70.5k-train120k)1e-4-2-bs5-39k4.6211No---
57fs4.6173No---
58cls-token-transfer208k4.5196No---
59GRU_CVAE4.4455No---
60Extended-Social-LSTM4.3927No---
61Model Agnostic Meta Learning4.2735No---
62raster_v24.2673No---
63tmtkinu4.1982No---
64tjxu4.1704No---
65wangwentong4.1309No---
66vector-net-latest4.1159No---
67phuang4.0972No---
68Alice_Bob4.0938No---
69NCTU-BNN4.0258No---
70dis1025004.0092No---
711mode-groupEmbed-1600003.9973No---
72xjh1999233.9867No---
731mode-groupEmbed-1060003.9861No---
74Whatever3.8798No---
75gcu_v23.827No---
76PRANK3.8239NoPRANK: motion Prediction based on RANKing2020-10-22-
77PRANK3.8239NoPRANK: motion Prediction based on RANKing2020-10-22-
78abac3.7406No---
79cul23.6689No---
80hell3.5816No---
81BNet-2S3.5698No---
82SHM3.5606No---
83ussm v2-SAIPS3.5154No---
84Gilgamesh3.5044No---
85HYU_ACE3.4512No---
86ewta3.4149No---
87Multiple Trajectories3.4055No---
88lt_cont_k63.2923No---
89NCTU-heheEECS3.287No---
90NN(map)3.287No---
91NN3.287No---
92Fong3.2809No---
93Speculators3.1954No---
9406263.1107No---
95Tim3.0999No---
96ln3.0976No---
97Aaron Huang3.0638No---
98llh2.871No---
99lixin2.8196No---
100TangBug2.7821No---
101bartosz2.7148No---
102Holmes2.6639No---
103team_moe2.5765No---
104Anonymous12342.5476No---
105adl2.5305No---
106randommm2.4966No---
107Social-CVAE2.4881No---
108fs_test2.4845No---
109hale2.3957No---
110deleted_accout_because_of_submission_error2.3926No---
111Vi yulia 51 prob2.3501No---
112AttnLstmMultiMod_fix2.3377No---
113lanegcn_pimp_curr_sgd2.2995No---
114xmy2.29No---
115msms2.2379No---
116mmppgg2.1875No---
117Anchor2.1774No---
118TNT_202208192.1322No---
119timtim2.1187No---
120CoderTeam2.1157No---
121huangmozhi2.1036No---
122mtz2.0558No---
123multimodal2.0333No---
124El Camino1.9764No---
125huhu1.973No---
126CRAT-Pred1.8981NoCRAT-Pred: Vehicle Trajectory Prediction with Cr...2022-02-09Code
127Array1.8371No---
128MultiLine1.7936No---
129zhanzhenxueyuan1.7883No---
130DGA_lg1.7768No---
131argo_test_18_5m_add_rotation_change_data_change_model_3_011.7597No---
132lstm1.6668No---
1336 mode model1.6639No---
134TrajectoryOracle1.6453No---
135damplyv11.6362No---
136Map Static+Specific1.6332No---
137xjh1.5984No---
138arky1.5956No---
139tusiji121381.5849No---
140huangmozhi95271.5716No---
141fyyclass1.5696No---
142PRIME1.5582No---
143uulm-mrm1.5486No---
144tp1.5334No---
145SCP1.5183No---
146pred1.5159No---
147leige1.506No---
148tnt-mtp_100s_targetloss_1-1_61.5058No---
149numberEight1.498No---
150Tang Luqi1.4953No---
151Tang Luqi1.4919No---
152player1.4645No---
153NCTU-GPL-GPAL1.4631No---
154SCP1.4591No---
155cxx1.4542No---
156LaneRCNN (IROS 2021)1.4526NoLaneRCNN: Distributed Representations for Graph-...2021-01-17-
157GOHOME1.4503NoGOHOME: Graph-Oriented Heatmap Output for future...2021-09-04-
158HTTP1.4503No---
159UAR1.4475No---
160Habitat-Web1.4457No---
161TNT - CoRL201.4457NoTNT: Target-driveN Trajectory Prediction2020-08-19Code
162ORIGINAL1.4424No---
163Alibaba-ADLab1.4413No---
164rush1.4399No---
165TestForecast1.4396No---
166THOMAS1.4388NoTHOMAS: Trajectory Heatmap Output with learned M...2021-10-13-
167chant1.4384No---
168CMAN(av1_demo)1.4341No---
169ulimit1.4341No---
170idlaber-Hans1.4262No---
171wimp1.422No---
172Jean1.4209No---
173lagat_mm1.4204No---
174s11.4192No---
175DF-RNN1.4138No---
176MTN1.4095No---
177mt_navi1.409No---
178sample_replace_gt_smalln_821.4071No---
179fyyyy1.4055No---
180TPA+Laneloss1.4049No---
181LaneGCN-s1.4031No---
182somemethod1.401No---
183HGO (K=6)1.3981No---
184ISY@TK1.3913No---
185lengyue1.3845No---
186Europa1.3844No---
187SCM+Distill(best model)1.384No---
188huyuening1.3832No---
189Miss Rate1.3814No---
190Transformer11.3781No---
19115 train 40e1.3772No---
192lanegcn_12_epoch1.377No---
193mymodel7_actornet_2_mapnet_a2m_a2a_2221.3755No---
194sihong1.3737No---
195LaneGCN-trainset-361.3723No---
196leon1.3718No---
197AutoBot-Ego1.3715No---
198William1.3707No---
199just_a_test1.3707No---
200LGN1.364No---
201SenseTime_AP1.3639No---
202LaneGCN1.3622No---
203YuNi1.355No---
204watson1.355No---
205CY_ng1.355No---
206cbc1.355No---
207julie-11.355No---
208ywyeh1.355No---
209hitchhiker1.355No---
210alfred1.355No---
211hitljx_test_sub1.355No---
212chailiang1.355No---
213zhousihong1.355No---
214(VI)1.3537No---
215JMT1.3536No---
216JAL-MTP1.3527No---
217wo_longterm1.3505No---
218l_DGA_lg1.3496No---
219daiyongjie1.3464No---
220vi_avp1.3456No---
221brier361.3432No---
222scale41.3429No---
223Shangguan_IFS1.3399No---
224Model01.3393No---
225mmTransformer1.3383No---
226MSPre1.3361No---
227881.327No---
228MR1.3222No---
229Parallel x-transformers version1.11.3171No---
230Lane_vae1.3114No---
231ECARX-V11.3072No---
232FTGN1.3055NoTrajectory Forecasting on Temporal Graphs2022-07-01Code
233Lotus1.2978No---
234LTP1.2955No---
235HOME + GOHOME1.2919NoHOME: Heatmap Output for future Motion Estimation2021-05-23Code
236Waypoint1.2905No---
237vilab1.2863No---
238ToNet1.2828No---
239minFDE1.2815No---
240lt_tv_cont1.28No---
241vectorgcn1.2793No---
242prediction-liangdian1.2785No---
243MFT1.2754No---
244whr_test1.2748No---
245Dcupqiu1.2715No---
246DIDI1.2703No---
247ATDSNet-v21.2694No---
248FRM1.2671NoLeveraging Future Relationship Reasoning for Veh...2023-05-24-
249vill1.2651No---
250CU-aware LaneGCN1.2595No---
251lstm_v11.2532No---
252EuclidNet-L1.2517No---
253DTNet(FDE)1.2494No---
254SSL-Lanes1.2493NoSSL-Lanes: Self-Supervised Learning for Motion F...2022-06-28Code
255TPCN1.2442NoTPCN: Temporal Point Cloud Networks for Motion F...2021-03-04-
256m2a2_341.2425No---
257Jack-M1.2403No---
258yiqi-fudan1.2395No---
259mm_kk_parallel_distemb_911.2339No---
260SceneTransformer1.2321No---
261Hi_base1.2283No---
262xia1.2235No---
263FGNet_sub1.2235No---
264Holistic Transformer1.2227NoHolistic Transformer: A Joint Neural Network for...2022-06-17-
265parallel_tl_123_02241.2225No---
266cls-weight1-51.2212No---
267decoder-3-last1.2193No---
268DSP1.2186No---
269multipath++1.2144NoMultiPath++: Efficient Information Fusion and Tr...2021-11-29Code
270MacFormer1.2141NoTENET: Transformer Encoding Network for Effectiv...2022-06-30-
271PAGA1.2139No---
272cls_weight1.2-decoder5-use-last1.2124No---
273be_s2lossf_38461.1996No---
274matrix_mugen1.1974No---
275HIKVISION-ADLab-hz1.1888No---
276chl(yiqi)1.1873No---
277FGNet1.1872No---
278Met1.1744No---
279Ameame1.1693No---
280HiVT-1281.1693No--Code
281TPCN++1.1675No---
282LAformer1.1626No---
283Wayformer1.1616NoWayformer: Motion Forecasting via Simple & Effic...2022-07-12Code
284GANet1.1605NoGANet: Goal Area Network for Motion Forecasting2022-09-20Code
285Gnet1.1602No---
286ATTTHOM1.1568No---
287ProIn_av11.1554No---
288HiVT++1.146No--Code
289DuanZX1.1385No---
290shernan_wu1.1376No---
291TSGN1.137No---
292DCMS1.135NoBootstrap Motion Forecasting With Self-Consisten...2022-04-12-
293ProphNet1.1337No---
294R-Pred1.1236NoR-Pred: Two-Stage Motion Prediction Via Tube-Que...2022-11-16-
295FFINet1.1213No---
296TO1.1127No---
297VI LaneIter1.1057No---
298QCNet1.0666No--Code
299SEPT1.0566No---