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SotA/Robots/Autonomous Driving/Argoverse CVPR 2020

Autonomous Driving on Argoverse CVPR 2020

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

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Results

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#Model↕minFDE (K=1)▼Extra DataPaperDate↕Code
1jwlhs10457.7046No---
2Johnny Hsieh46.7268No---
3BaseballBro34.3376No---
4WST31.1513No---
5cxl25.4924No---
6Constant velocity map prior23.7276No---
7mtz17.191No---
8DQS12.8813No---
9xjtub0911.4556No---
10D0.211.3051No---
11wangwentong11.0515No---
12AttnLstmMultiMod_fix10.8683No---
13CoderTeam10.0298No---
14Whatever9.7385No---
15GRU_CVAE9.5225No---
16suu9.5077No---
17rishabh9.4305No---
18Online_CL8.7522No---
19ewta8.6403No---
20SHM8.3529No---
21yellowtaxi8.1634No---
22BD8.1441No---
23Gilgamesh8.1197No---
24NCTU-BNN8.1197No---
25ffffx8.0293No---
26randommm8.0179No---
27zlewe7.8875No---
28NCTU_3095120337.8875No---
29null7.8875No---
30baseline_argo_contant_vel_017.8875No---
31test_17.8875No---
32mmmddd7.8875No---
33NCTU-heheEECS7.8828No---
34NN(map)7.8828No---
35NN7.8828No---
36hell7.8828No---
37RuSheng7.7392No---
38Speculators7.6186No---
39HYU_ACE7.4546No---
40Tim7.4299No---
41Ruochen7.2377No---
42hale7.0702No---
43rush7.0697No---
44zs7.0155No---
45Trial6.992No---
46Aaron Huang6.8853No---
47llh6.8301No---
48Funtastic_4casting6.8116No---
49Constant-V-Forecating(very very naive)6.8116No---
50DeepPrediction6.8116No---
51lllsssjQuery33108037804872914465_16780975932926.8116No---
52MT-PNC6.8116No---
53naive method test6.8116No---
54default6.8116No---
55efficent and adaptive6.8116No---
56xjh1999236.7766No---
57vectornet6.7247No---
58Model Agnostic Meta Learning6.688No---
59parallel_tl_123_02246.6845No---
606 mode model6.6511No---
61Holmes6.5416No---
62TangBug6.5063No---
63HH6.457No---
64Alice_Bob6.4175No---
65gogogo_zhigang6.4158No---
66posterior with best parameters6.3946No---
67Anonymous12346.3673No---
68lixin6.2682No---
69pph6.1954No---
70haomo6.1586No---
71zys6.0771No---
72Vi yulia 51 prob6.0524No---
73Map Static+Specific6.029No---
74bartosz5.999No---
75xmy5.9819No---
76lstm+cnn5.8451No---
77Waldo5.8257No---
78baguette5.8239No---
79gg66665.8185No---
80huhu5.7482No---
81fs_test5.7465No---
82multimodal5.7132No---
83deleted_accout_because_of_submission_error5.6608No---
8406265.6038No---
85adl5.5965No---
86Multiple Trajectories5.488No---
87que_anr5.4732No---
88BNet-2S5.4621No---
89haomokeji5.451No---
90slf5.3231No---
91team_moe5.2943No---
92fs5.2734No---
93grip5.2717No---
94DGA_lg5.1875No---
95msms5.1581No---
96LSTMs5.1534No---
97par5.1247No---
98NCTU-GPL-GPAL5.0944No---
99Tang Luqi5.0682No---
100Anchor5.0578No---
101miaomiao5.054No---
102mt_navi5.053No---
103GoodMountain5.0224No---
104DF-RNN5.0216No---
105Habitat-Web4.9593No---
106TNT - CoRL204.9593NoTNT: Target-driveN Trajectory Prediction2020-08-19Code
107Challenge4.9209No---
108JMT4.915No---
109Xiaogang4.8748No---
110Parallel x-transformers version1.14.8659No---
111El Camino4.8418No---
112timtim4.8259No---
113Fong4.7064No---
114huangmozhi4.6642No---
115TNT_202208194.6325No---
116raster-to-svg-train(t70.5k-train120k)1e-4-2-bs5-39k4.6211No---
117CMAN(av1_demo)4.5807No---
118huangmozhi95274.5299No---
119cls-token-transfer208k4.5196No---
120zhanzhenxueyuan4.4898No---
121arky4.3966No---
122Extended-Social-LSTM4.3927No---
123TrajectoryOracle4.345No---
124SCP4.3111No---
125Alibaba-ADLab4.3037No---
126ln4.2923No---
127lagat_mm4.2854No---
128Social-CVAE4.2738No---
129raster_v24.2673No---
130lstm4.2597No---
131Jean4.2372No---
132player4.2353No---
133TestForecast4.227No---
134somemethod4.2265No---
135leige4.2259No---
136SCP4.2119No---
137tmtkinu4.1982No---
138Array4.194No---
139uulm-mrm4.1917No---
140HGO (K=6)4.1783No---
141tjxu4.1704No---
142tusiji121384.1642No---
143idlaber-Hans4.1511No---
144tnt-mtp_100s_targetloss_1-1_64.1366No---
145xjh4.1274No---
146tp4.1231No---
147FGNet4.1163No---
148vector-net-latest4.1159No---
149AutoBot-Ego4.1061No---
150lanegcn_pimp_curr_sgd4.1008No---
151phuang4.0972No---
152UAR4.0927No---
153chant4.0875No---
154CRAT-Pred4.0576NoCRAT-Pred: Vehicle Trajectory Prediction with Cr...2022-02-09Code
155SceneTransformer4.0551No---
156MR4.0418No---
157JAL-MTP4.0415No---
158HTTP4.0309No---
159wimp4.0307No---
160MTN4.0235No---
161ulimit4.0114No---
162MultiLine4.01No---
163dis1025004.0092No---
164mmTransformer4.0033No---
1651mode-groupEmbed-1600003.9973No---
1661mode-groupEmbed-1060003.9861No---
167ORIGINAL3.9852No---
168wo_longterm3.9733No---
169Tang Luqi3.9418No---
170Model03.9297No---
171ISY@TK3.9079No---
172FTGN3.9031NoTrajectory Forecasting on Temporal Graphs2022-07-01Code
173fyyclass3.9013No---
174Waypoint3.9007No---
175Tang Luqi3.9003No---
176l_DGA_lg3.8981No---
177sample_replace_gt_smalln_823.8782No---
178mmppgg3.8707No---
179SCM+Distill(best model)3.8623No---
180LaneGCN-s3.8592No---
181cxx3.8532No---
182sihong3.8482No---
183Shangguan_IFS3.8476No---
184numberEight3.8435No---
185huyuening3.8359No---
186pred3.8357No---
187gcu_v23.827No---
188PRANK3.8239NoPRANK: motion Prediction based on RANKing2020-10-22-
189PRANK3.8239NoPRANK: motion Prediction based on RANKing2020-10-22-
190LaneGCN-trainset-363.8222No---
191PRIME3.8217No---
192argo_test_18_5m_add_rotation_change_data_change_model_3_013.8216No---
193lanegcn_12_epoch3.8171No---
194s13.8039No---
195lengyue3.801No---
196William3.7985No---
197fyyyy3.7966No---
198Transformer13.7918No---
199Lotus3.7874No---
200Lane_vae3.7832No---
20115 train 40e3.7827No---
202yiqi-fudan3.7811No---
203LGN3.7786No---
204scale43.775No---
205mm_kk_parallel_distemb_913.7724No---
206Europa3.7705No---
207YuNi3.7643No---
208watson3.7643No---
209CY_ng3.7643No---
210cbc3.7643No---
211julie-13.7643No---
212ywyeh3.7643No---
213hitchhiker3.7643No---
214alfred3.7643No---
215leon3.7642No---
216hitljx_test_sub3.7642No---
217chailiang3.7642No---
218zhousihong3.7642No---
219vill3.7626No---
220LaneGCN3.7624No---
221MFT3.7588No---
222Jack-M3.7582No---
223SenseTime_AP3.7573No---
224damplyv13.7541No---
225mymodel7_actornet_2_mapnet_a2m_a2a_2223.7496No---
226FRM3.7486NoLeveraging Future Relationship Reasoning for Veh...2023-05-24-
227prediction-liangdian3.7477No---
228(VI)3.7418No---
229abac3.7406No---
230vilab3.7395No---
231vi_avp3.7274No---
232daiyongjie3.7242No---
233DSP3.7087No---
234Miss Rate3.6961No---
235883.6951No---
236LaneRCNN (IROS 2021)3.6916NoLaneRCNN: Distributed Representations for Graph-...2021-01-17-
237just_a_test3.6886No---
238TPA+Laneloss3.6837No---
239HOME + GOHOME3.681NoHOME: Heatmap Output for future Motion Estimation2021-05-23Code
240cul23.6689No---
241Hi_base3.662No---
242ATDSNet-v23.6604No---
243brier363.6581No---
244cls-weight1-53.6568No---
245Wayformer3.6559NoWayformer: Motion Forecasting via Simple & Effic...2022-07-12Code
246ToNet3.6518No---
247FGNet_sub3.6496No---
248MSPre3.6489No---
249GOHOME3.6468NoGOHOME: Graph-Oriented Heatmap Output for future...2021-09-04-
250minFDE3.6321No---
251xia3.6269No---
252cls_weight1.2-decoder5-use-last3.6226No---
253multipath++3.6141NoMultiPath++: Efficient Information Fusion and Tr...2021-11-29Code
254decoder-3-last3.614No---
255ECARX-V13.6103No---
256MacFormer3.6081NoTENET: Transformer Encoding Network for Effectiv...2022-06-30-
257lstm_v13.6029No---
258THOMAS3.593NoTHOMAS: Trajectory Heatmap Output with learned M...2021-10-13-
259DIDI3.5879No---
260vectorgcn3.5851No---
261matrix_mugen3.5825No---
262whr_test3.58No---
263DTNet(FDE)3.5752No---
264SSL-Lanes3.5643NoSSL-Lanes: Self-Supervised Learning for Motion F...2022-06-28Code
265Dcupqiu3.5641No---
266m2a2_343.5573No---
267be_s2lossf_38463.5572No---
268CU-aware LaneGCN3.5508No---
269ATTTHOM3.5505No---
270LTP3.5485No---
271HiVT-1283.5328No--Code
272HIKVISION-ADLab-hz3.5263No---
273ussm v2-SAIPS3.5154No---
274TO3.5116No---
275chl(yiqi)3.5087No---
276Met3.4945No---
277TPCN3.4872NoTPCN: Temporal Point Cloud Networks for Motion F...2021-03-04-
278lt_tv_cont3.4838No---
279R-Pred3.4718NoR-Pred: Two-Stage Motion Prediction Via Tube-Que...2022-11-16-
280EuclidNet-L3.47No---
281Ameame3.4648No---
282GANet3.4548NoGANet: Goal Area Network for Motion Forecasting2022-09-20Code
283LAformer3.4533No---
284ProIn_av13.4467No---
285HiVT++3.4449No--Code
286Holistic Transformer3.4284NoHolistic Transformer: A Joint Neural Network for...2022-06-17-
287Gnet3.4067No---
288PAGA3.3814No---
289TSGN3.3645No---
290shernan_wu3.3621No---
291FFINet3.3611No---
292QCNet3.342No--Code
293TPCN++3.3297No---
294DuanZX3.3216No---
295lt_cont_k63.2923No---
296VI LaneIter3.2849No---
297ProphNet3.2628No---
298DCMS3.2515NoBootstrap Motion Forecasting With Self-Consisten...2022-04-12-
299SEPT3.1777No---