Video Retrieval On Fivr 200K

Metrics

mAP (CSVR)

mAP (DSVR)

mAP (ISVR)

Results

Performance results of various models on this benchmark

				Paper Title
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