EGAT: Extended Graph Attention Network for Pedestrian Trajectory Prediction

Table 5

Comparison with the state-of-the-art. Top-1, Top-2, and Top-3 results are shown in red, green, and blue.

Dataset	ETH		HOTEL		UNIV		ZARA1		ZARA2		AVG
Metrics	ADE	FDE	ADE	FDE	ADE	FDE	ADE	FDE	ADE	FDE	ADE	FDE
Linear [3]	1.33	2.94	0.39	0.72	0.82	1.59	0.62	1.21	0.77	1.48	0.79	1.59
SR-LSTM-2 [4]	0.63	1.25	0.37	0.74	0.51	1.10	0.41	0.90	0.32	0.70	0.45	0.94
S-LSTM [3]	1.09	2.35	0.79	1.76	0.67	1.40	0.47	1.00	0.56	1.17	0.72	1.54
S-GAN-P [5]	0.87	1.62	0.67	1.37	0.76	1.52	0.35	0.68	0.42	0.84	0.61	1.21
SoPhie [6]	0.70	1.43	0.76	1.67	0.54	1.24	0.30	0.63	0.38	0.78	0.54	1.15
CGNS [17]	0.62	1.40	0.70	0.93	0.48	1.22	0.32	0.59	0.35	0.71	0.49	0.97
PIF [30]	0.73	1.65	0.30	0.59	0.60	1.27	0.38	0.81	0.31	0.68	0.46	1.00
STSGN [26]	0.75	1.63	0.63	1.01	0.48	1.08	0.30	0.65	0.26	0.57	0.48	0.99
GAT [8]	0.68	1.29	0.68	1.40	0.57	1.29	0.29	0.60	0.37	0.75	0.52	1.07
Social-BiGAT [8]	0.69	1.29	0.49	1.01	0.55	1.32	0.30	0.62	0.36	0.75	0.48	1.00
Social-STGCNN [10]	0.64	1.11	0.49	0.85	0.44	0.79	0.34	0.53	0.30	0.48	0.44	0.75
STGAT-20v-20 [9]	0.65	1.12	0.35	0.66	0.52	1.10	0.34	0.69	0.29	0.60	0.43	0.83
EGAT	0.57	1.03	0.30	0.58	0.50	1.09	0.33	0.65	0.26	0.57	0.39	0.78