HyperAI超神経
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HyperAI超神経

Video Retrieval On Fivr 200K

評価指標

mAP (CSVR)
mAP (DSVR)
mAP (ISVR)

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
mAP (CSVR)
mAP (DSVR)
mAP (ISVR)
Paper TitleRepository
ViSiLf0.7970.8430.660ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning
TCAc0.5530.570 0.473Temporal Context Aggregation for Video Retrieval with Contrastive Learning
DnS (S^f_B)0.8630.9090.729DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval
ViSiLsym0.7920.8330.654ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning
VRAG (CS)0.6780.7230.554VRAG: Region Attention Graphs for Content-Based Video Retrieval-
ViSiLv (pt)0.8540.8990.723ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning
DnS (S^c)0.558 0.574 0.476DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval
S2VS0.8790.9270.746Self-Supervised Video Similarity Learning
Jo et al. (SCFV+TNIP)0.8330.8960.674Exploring the Temporal Cues to Enhance Video Retrieval on Standardized CDVA
TCAf0.830 0.8770.703Temporal Context Aggregation for Video Retrieval with Contrastive Learning
TCAsym0.6980.7280.592Temporal Context Aggregation for Video Retrieval with Contrastive Learning
ViSiLv (tf)0.841 0.8920.702ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning
VVS0.6890.711 0.590VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression
S2VS0.8780.9250.739Self-Supervised Video Similarity Learning
DnS (S^f_A)0..8750.921 0.741DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval
VRAG (video)0.4700.4840.399VRAG: Region Attention Graphs for Content-Based Video Retrieval-
LAMV0.4660.4960.371LAMV: Learning to Align and Match Videos With Kernelized Temporal Layers
0 of 17 row(s) selected.