Visual Object Tracking On Otb 2013

AUC

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	AUC	Paper Title	Repository
SiamVGG	0.665	SiamVGG: Visual Tracking using Deeper Siamese Networks
DSiam	0.656	Learning Dynamic Siamese Network for Visual Object Tracking	-
SE-SiamFC	0.68	Scale Equivariance Improves Siamese Tracking
CFNet	0.611	End-to-end representation learning for Correlation Filter based tracking	-
SA-Siam	0.677	A Twofold Siamese Network for Real-Time Object Tracking
RASNet	0.670	Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking	-
SiamFC-3s	0.607	Fully-Convolutional Siamese Networks for Object Tracking

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