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 1–50 of 55 papers

TitleStatusHype
Is Weakly-supervised Action Segmentation Ready For Human-Robot Interaction? No, Let's Improve It With Action-union LearningCode2
HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability PropagationCode1
Learning Action Completeness from Points for Weakly-supervised Temporal Action LocalizationCode1
Actionness Inconsistency-guided Contrastive Learning for Weakly-supervised Temporal Action LocalizationCode1
SF-Net: Single-Frame Supervision for Temporal Action LocalizationCode1
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity LocalizationCode1
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic ActionsCode1
Weakly-supervised Temporal Action Localization by Uncertainty ModelingCode1
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action LocalizationCode1
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action TripletsCode1
Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based ApproachCode1
Background Suppression Network for Weakly-supervised Temporal Action LocalizationCode1
CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive LearningCode1
Weakly Supervised Action Selection Learning in VideoCode1
Convex Combination Consistency between Neighbors for Weakly-supervised Action LocalizationCode1
ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action LocalizationCode1
Cross-modal Consensus Network for Weakly Supervised Temporal Action LocalizationCode1
Weakly-Supervised Action Localization by Generative Attention ModelingCode1
FineAction: A Fine-Grained Video Dataset for Temporal Action LocalizationCode1
Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action LocalizationCode1
Temporal Action Segmentation from Timestamp SupervisionCode1
VideoMix: Rethinking Data Augmentation for Video ClassificationCode1
Action Shuffling for Weakly Supervised Temporal Localization—0
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization—0
Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Action Unit Memory Network for Weakly Supervised Temporal Action Localization—0
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization—0
AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos—0
Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization—0
Marginalized Average Attentional Network for Weakly-Supervised Learning—0
PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization—0
Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses—0
POTLoc: Pseudo-Label Oriented Transformer for Point-Supervised Temporal Action Localization—0
Spatio-Temporal Instance Learning: Action Tubes from Class Supervision—0
Temporal Structure Mining for Weakly Supervised Action Detection—0
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization—0
Two-Stream Networks for Weakly-Supervised Temporal Action Localization With Semantic-Aware Mechanisms—0
Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN—0
Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling—0
Weakly-supervised Action Localization with Background Modeling—0
Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks—0
Guess Where? Actor-Supervision for Spatiotemporal Action LocalizationCode0
W-TALC: Weakly-supervised Temporal Activity Localization and ClassificationCode0
Weakly Supervised Action Localization by Sparse Temporal Pooling NetworkCode0
Weakly supervised temporal action localization with actionness-guided false positive suppressionCode0
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised ActivationsCode0
RefineLoc: Iterative Refinement for Weakly-Supervised Action LocalizationCode0
Multilevel semantic and adaptive actionness learning for weakly supervised temporal action localizationCode0
Weakly-Supervised Temporal Action Localization by Progressive Complementary LearningCode0
Show:102550
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All datasetsTHUMOS 2014THUMOS14ActivityNet-1.2ActivityNet-1.3GTEABEOIDFineActionTHUMOS' 14

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HR-PromAP@0.1:0.760.3—Unverified
2LACPmAP@0.1:0.752.8—Unverified
3D2-NetmAP@0.1:0.551.4—Unverified
4SALmAP@0.1:0.750.6—Unverified
5PivoTALmAP@0.1:0.749.6—Unverified
6CASE + Zhou et al.mAP@0.1:0.749.2—Unverified
7AFPSmAP@0.1:0.748.5—Unverified
8P-MILmAP@0.1:0.747—Unverified
9AICLmAP@0.1:0.746.4—Unverified
10TSNmAP@0.1:0.746.2—Unverified
#ModelMetricClaimedVerifiedStatus
1HR-Proavg-mAP (0.3-0.7)51.1—Unverified
2LACPmAP@0.545.3—Unverified
3LACPavg-mAP (0.3-0.7)44.5—Unverified
4ProCLmAP@0.540.5—Unverified
5P-MILmAP@0.540—Unverified
6P-MILavg-mAP (0.3-0.7)38—Unverified
7D2-NetmAP@0.535.9—Unverified
8Ju et al.mAP@0.535.9—Unverified
9Ju et al.avg-mAP (0.3-0.7)35.4—Unverified
10ACM-NetmAP@0.534.6—Unverified
#ModelMetricClaimedVerifiedStatus
1BaS-NetmAP@0.538.5—Unverified
2CleanNetmAP@0.537.1—Unverified
3W-TALCmAP@0.537—Unverified
4CMCSmAP@0.536.8—Unverified
5SALMean mAP30.8—Unverified
6AFPSMean mAP29.9—Unverified
7AICLMean mAP29.9—Unverified
8TSMmAP@0.528.3—Unverified
9CASEMean mAP27.9—Unverified
10AutoLocmAP@0.527.3—Unverified
#ModelMetricClaimedVerifiedStatus
1MAANmAP@0.533.7—Unverified
2TSMmAP@0.530.3—Unverified
3STPNmAP@0.529.3—Unverified
4SALmAP@0.5:0.9528.8—Unverified
5PivoTALmAP@0.5:0.9528.1—Unverified
6AICLmAP@0.5:0.9527.6—Unverified
7AFPSmAP@0.5:0.9527.3—Unverified
8CASEmAP@0.5:0.9526.8—Unverified
9TSNmAP@0.5:0.9526.3—Unverified
10ProCLmAP@0.5:0.9526.1—Unverified
#ModelMetricClaimedVerifiedStatus
1AU-ActionmAP@0.1:0.776.9—Unverified
2HR-PromAP@0.1:0.747.3—Unverified
3LACPmAP@0.1:0.743.5—Unverified
4Li et al.mAP@0.1:0.736.4—Unverified
5Ju et al.mAP@0.1:0.733.7—Unverified
6SF-NetmAP@0.1:0.731—Unverified
#ModelMetricClaimedVerifiedStatus
1HR-PromAP@0.1:0.759.4—Unverified
2LACPmAP@0.1:0.751.8—Unverified
3Ju et al.mAP@0.1:0.734.9—Unverified
4Li et al.mAP@0.1:0.734.4—Unverified
5SF-NetmAP@0.1:0.730.1—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