HyperAI超神经

Weakly Supervised Action Localization On

评估指标

mAP@0.1:0.5
mAP@0.1:0.7
mAP@0.5

评测结果

各个模型在此基准测试上的表现结果

比较表格
模型名称mAP@0.1:0.5mAP@0.1:0.7mAP@0.5
background-modeling-via-uncertainty51.641.933.7
d2-net-weakly-supervised-action-localization51.4-35.9
completeness-modeling-and-context-separation-32.423.1
weakly-supervised-temporal-action--23.9
adversarial-background-aware-loss-for-weakly46.937.830.1
3c-net-category-count-and-center-loss-for--26.6
proposal-based-multiple-instance-learning-for-157.447.040.0
two-stream-networks-for-weakly-supervised57.246.237.1
weakly-supervised-action-localization-by-245.637.028.8
cross-modal-consensus-network-for-weakly54.444.638.3
cola-weakly-supervised-temporal-action50.340.932.2
multilevel-semantic-and-adaptive-actionness61.550.641.8
asm-loc-action-aware-segment-modeling-for-45.136.6
hr-pro-point-supervised-temporal-action71.660.352.2
learning-action-completeness-from-points-for62.752.845.3
actionness-inconsistency-guided-contrastive56.946.436.9
point-level-temporal-action-localization55.644.835.9
weakly-supervised-action-localization-by-27.016.9
autoloc-weakly-supervised-temporal-action-1--21.2
temporal-structure-mining-for-weakly--24.5
revisiting-foreground-and-background-1-49.2-
weakly-supervised-temporal-action-859.148.541.0
untrimmednets-for-weakly-supervised-action--13.7
revisiting-foreground-and-background-157.146.2-
hide-and-seek-forcing-a-network-to-be--6.8
w-talc-weakly-supervised-temporal-activity--22.8
sf-net-single-frame-supervision-for-temporal51.241.230.5
acm-net-action-context-modeling-network-for53.242.634.6
marginalized-average-attentional-network-for-1-31.620.3
background-suppression-network-for-weakly43.635.327
pivotal-prior-driven-supervision-for-weakly60.149.642.8