SOTAVerified

Weakly Supervised Action Localization

In this task, the training data consists of videos with a list of activities in them without any temporal boundary annotations. However, while testing, given a video, the algorithm should recognize the activities in the video and also provide the start and end time.

Papers

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Showing 1–10 of 55 papers

TitleStatusHype
Multilevel semantic and adaptive actionness learning for weakly supervised temporal action localizationCode0
Weakly supervised temporal action localization with actionness-guided false positive suppressionCode0
Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based ApproachCode1
Is Weakly-supervised Action Segmentation Ready For Human-Robot Interaction? No, Let's Improve It With Action-union LearningCode2
POTLoc: Pseudo-Label Oriented Transformer for Point-Supervised Temporal Action Localization—0
HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability PropagationCode1
Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling—0
Actionness Inconsistency-guided Contrastive Learning for Weakly-supervised Temporal Action LocalizationCode1
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action LocalizationCode1
Two-Stream Networks for Weakly-Supervised Temporal Action Localization With Semantic-Aware Mechanisms—0
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All datasetsTHUMOS 2014THUMOS14ActivityNet-1.2ActivityNet-1.3GTEABEOIDFineActionTHUMOS' 14

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HR-Pro[email protected]:0.760.3—Unverified
2LACP[email protected]:0.752.8—Unverified
3D2-Net[email protected]:0.551.4—Unverified
4SAL[email protected]:0.750.6—Unverified
5PivoTAL[email protected]:0.749.6—Unverified
6CASE + Zhou et al.[email protected]:0.749.2—Unverified
7AFPS[email protected]:0.748.5—Unverified
8P-MIL[email protected]:0.747—Unverified
9AICL[email protected]:0.746.4—Unverified
10TSN[email protected]:0.746.2—Unverified
#ModelMetricClaimedVerifiedStatus
1HR-Proavg-mAP (0.3-0.7)51.1—Unverified
2LACP[email protected]45.3—Unverified
3LACPavg-mAP (0.3-0.7)44.5—Unverified
4ProCL[email protected]40.5—Unverified
5P-MIL[email protected]40—Unverified
6P-MILavg-mAP (0.3-0.7)38—Unverified
7D2-Net[email protected]35.9—Unverified
8Ju et al.[email protected]35.9—Unverified
9Ju et al.avg-mAP (0.3-0.7)35.4—Unverified
10ACM-Net[email protected]34.6—Unverified
#ModelMetricClaimedVerifiedStatus
1BaS-Net[email protected]38.5—Unverified
2CleanNet[email protected]37.1—Unverified
3W-TALC[email protected]37—Unverified
4CMCS[email protected]36.8—Unverified
5SALMean mAP30.8—Unverified
6AFPSMean mAP29.9—Unverified
7AICLMean mAP29.9—Unverified
8TSM[email protected]28.3—Unverified
9CASEMean mAP27.9—Unverified
10AutoLoc[email protected]27.3—Unverified
#ModelMetricClaimedVerifiedStatus
1MAAN[email protected]33.7—Unverified
2TSM[email protected]30.3—Unverified
3STPN[email protected]29.3—Unverified
4SAL[email protected]:0.9528.8—Unverified
5PivoTAL[email protected]:0.9528.1—Unverified
6AICL[email protected]:0.9527.6—Unverified
7AFPS[email protected]:0.9527.3—Unverified
8CASE[email protected]:0.9526.8—Unverified
9TSN[email protected]:0.9526.3—Unverified
10ProCL[email protected]:0.9526.1—Unverified
#ModelMetricClaimedVerifiedStatus
1AU-Action[email protected]:0.776.9—Unverified
2HR-Pro[email protected]:0.747.3—Unverified
3LACP[email protected]:0.743.5—Unverified
4Li et al.[email protected]:0.736.4—Unverified
5Ju et al.[email protected]:0.733.7—Unverified
6SF-Net[email protected]:0.731—Unverified
#ModelMetricClaimedVerifiedStatus
1HR-Pro[email protected]:0.759.4—Unverified
2LACP[email protected]:0.751.8—Unverified
3Ju et al.[email protected]:0.734.9—Unverified
4Li et al.[email protected]:0.734.4—Unverified
5SF-Net[email protected]:0.730.1—Unverified
#ModelMetricClaimedVerifiedStatus
1HAANmAP4.1—Unverified
2W-TALCmAP3.45—Unverified
3D2-NetmAP3.35—Unverified
4ASLmAP3.3—Unverified
#ModelMetricClaimedVerifiedStatus
1ProCLavg-mAP (0.1:0.7)47.7—Unverified