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HyperAI超神经

Video Retrieval On Fivr 200K

评估指标

mAP (CSVR)

mAP (DSVR)

mAP (ISVR)

评测结果

各个模型在此基准测试上的表现结果

模型名称	mAP (CSVR)	mAP (DSVR)	mAP (ISVR)	Paper Title	Repository
ViSiLf	0.797	0.843	0.660	ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning	-
TCAc	0.553	0.570	0.473	Temporal Context Aggregation for Video Retrieval with Contrastive Learning	-
DnS (S^f_B)	0.863	0.909	0.729	DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval	-
ViSiLsym	0.792	0.833	0.654	ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning	-
VRAG (CS)	0.678	0.723	0.554	VRAG: Region Attention Graphs for Content-Based Video Retrieval	-
ViSiLv (pt)	0.854	0.899	0.723	ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning	-
DnS (S^c)	0.558	0.574	0.476	DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval	-
S2VS	0.879	0.927	0.746	Self-Supervised Video Similarity Learning	-
Jo et al. (SCFV+TNIP)	0.833	0.896	0.674	Exploring the Temporal Cues to Enhance Video Retrieval on Standardized CDVA
TCAf	0.830	0.877	0.703	Temporal Context Aggregation for Video Retrieval with Contrastive Learning	-
TCAsym	0.698	0.728	0.592	Temporal Context Aggregation for Video Retrieval with Contrastive Learning	-
ViSiLv (tf)	0.841	0.892	0.702	ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning	-
VVS	0.689	0.711	0.590	VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression	-
S2VS	0.878	0.925	0.739	Self-Supervised Video Similarity Learning	-
DnS (S^f_A)	0..875	0.921	0.741	DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval	-
VRAG (video)	0.470	0.484	0.399	VRAG: Region Attention Graphs for Content-Based Video Retrieval	-
LAMV	0.466	0.496	0.371	LAMV: Learning to Align and Match Videos With Kernelized Temporal Layers

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Video Retrieval On Fivr 200K | SOTA | HyperAI超神经