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Video Retrieval On Fivr 200K

Metrics

mAP (CSVR)

mAP (DSVR)

mAP (ISVR)

Results

Performance results of various models on this benchmark

				Paper Title	Repository
S2VS	0.879	0.927	0.746	Self-Supervised Video Similarity Learning
S2VS	0.878	0.925	0.739	Self-Supervised Video Similarity Learning
DnS (S^f_B)	0.863	0.909	0.729	DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval
ViSiLv (pt)	0.854	0.899	0.723	ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning
ViSiLv (tf)	0.841	0.892	0.702	ViSiL: Fine-grained Spatio-Temporal 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
ViSiLf	0.797	0.843	0.660	ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning
ViSiLsym	0.792	0.833	0.654	ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning
TCAsym	0.698	0.728	0.592	Temporal Context Aggregation for Video Retrieval with Contrastive Learning
VVS	0.689	0.711	0.590	VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression
VRAG (CS)	0.678	0.723	0.554	VRAG: Region Attention Graphs for Content-Based Video Retrieval	-
DnS (S^c)	0.558	0.574	0.476	DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval
TCAc	0.553	0.570	0.473	Temporal Context Aggregation for Video Retrieval with Contrastive Learning
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	-
DnS (S^f_A)	0..875	0.921	0.741	DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval

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Video Retrieval On Fivr 200K | SOTA | HyperAI