Trajectory Prediction On Stanford Drone

ADE (8/12) @K=5

FDE(8/12) @K=5

Résultats

Résultats de performance de divers modèles sur ce benchmark

Tableau comparatif

Nom du modèle	ADE (8/12) @K=5	FDE(8/12) @K=5
tnt-target-driven-trajectory-prediction	12.23	21.16
from-goals-waypoints-paths-to-long-term-human	-	-
conditional-generative-neural-system-for	-	-
sophie-an-attentive-gan-for-predicting-paths	16.27	29.38
the-garden-of-forking-paths-towards-multi	-	-
dag-net-double-attentive-graph-neural-network	-	-
smemo-social-memory-for-trajectory	11.64	21.12
social-implicit-rethinking-trajectory	-	-
desire-distant-future-prediction-in-dynamic	19.25	34.05
view-vertically-a-hierarchical-network-for	-	-
social-lstm-human-trajectory-prediction-in	31.19	56.97
remember-intentions-retrospective-memory	-	-
end-to-end-trajectory-distribution-prediction	-	-
human-trajectory-prediction-via-neural-social	-	-
sophie-an-attentive-gan-for-predicting-paths	-	-
trajectory-forecasts-in-unknown-environments	-	-
conditional-flow-variational-autoencoders-for	-	-
progressive-pretext-task-learning-for-human	-	-
evolvegraph-heterogeneous-multi-agent-multi	-	-
social-gan-socially-acceptable-trajectories	27.25	41.44
social-ways-learning-multi-modal	-	-
mantra-memory-augmented-networks-for-multiple-1	13.51	27.34
simaug-learning-robust-representations-from	-	-
it-is-not-the-journey-but-the-destination	-	-