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Pedestrian trajectory prediction on ZARA02

0.31ADES-GAN
0.290.4250.560.695Feb 11, 2019Mar 6, 2019Mar 30, 2019Apr 23, 2019May 17, 2019Jun 10, 2019Jul 4, 2019

Evaluation results

MethodLinks
S-GANModel Type=Stochastic2019.040.310.64——
NextNumber of output samples=202019.020.310.68——
NextNumber of output samples=12019.020.340.75——
CGNSContext features=Deactivated2019.050.350.71——
S-GAN-PModel Type=Stochastic2019.040.360.72——
Social-BIGATCategory=Ours, K=202019.070.360.75——
GATCategory=Ours, K=202019.070.370.75——
SoPhieModel Type=Stochastic2019.040.380.78——
SoPhieNumber of output samples=202019.020.380.78——
SophieCategory=Generative, K=202019.070.380.78——
SoPhie2019.050.380.78——
S-ForceModel Type=Deterministic2019.040.40.68——
Social GAN (V)Number of output samples=202019.020.420.84——
Social GAN (PV)Number of output samples=202019.020.420.84——
S-GAN-PCategory=Generative, K=202019.070.420.84——
S-GAN2019.050.420.84——
S-GAN-P2019.050.420.84——
LinearModel Type=Deterministic2019.040.430.95——
BiGANCategory=Ours, K=202019.070.490.88——
S-WaysModel Type=Stochastic2019.040.510.92——
P-LSTM2019.050.511.16——
LSTMNumber of output samples=12019.020.521.11——
S-LSTMModel Type=Deterministic2019.040.561.17——
Social LSTMNumber of output samples=12019.020.561.17——
S-LSTMCategory=Discriminative2019.070.561.17——
S-LSTM2019.050.561.17——
LinearNumber of output samples=12019.020.771.48——
LinCategory=Discriminative2019.070.771.48——
LR2019.050.771.48——
CVM2019.050.811.55——
ART (Ours)2026.04——0.120.21
EqMotion2026.04——0.130.23
ET2026.04——0.140.24
GroupNet2026.04——0.170.33
LED2026.04——0.130.22
MART2026.04——0.130.22
MemoNet2026.04——0.140.24
MID2026.04——0.130.27
NPSN2026.04——0.140.25
SingularTraj2026.04——0.150.25