HyperAI

Video Retrieval On Fivr 200K

Métriques

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

Résultats

Résultats de performance de divers modèles sur ce benchmark

Tableau comparatif
Nom du modèlemAP (CSVR)mAP (DSVR)mAP (ISVR)
visil-fine-grained-spatio-temporal-video0.7970.8430.660
context-encoding-for-video-retrieval-with0.5530.570 0.473
dns-distill-and-select-for-efficient-and0.8630.9090.729
visil-fine-grained-spatio-temporal-video0.7920.8330.654
vrag-region-attention-graphs-for-content0.6780.7230.554
visil-fine-grained-spatio-temporal-video0.8540.8990.723
dns-distill-and-select-for-efficient-and0.558 0.574 0.476
self-supervised-video-similarity-learning0.8790.9270.746
exploring-the-temporal-cues-to-enhance-video0.8330.8960.674
context-encoding-for-video-retrieval-with0.830 0.8770.703
context-encoding-for-video-retrieval-with0.6980.7280.592
visil-fine-grained-spatio-temporal-video0.841 0.8920.702
vvs-video-to-video-retrieval-with-irrelevant0.6890.711 0.590
self-supervised-video-similarity-learning0.8780.9250.739
dns-distill-and-select-for-efficient-and0..8750.921 0.741
vrag-region-attention-graphs-for-content0.4700.4840.399
lamv-learning-to-align-and-match-videos-with0.4660.4960.371