Weakly Supervised Action Localization

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

9 leaderboard tables shown for this task, 9 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 35 papers with code (55 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
  10 Jul 2020 4 repositories listed
  Recognition of surgical activity is an essential component to develop context-aware decision support for the operating room.
• VideoMix: Rethinking Data Augmentation for Video Classification
  7 Dec 2020 3 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  Recent data augmentation strategies have been reported to address the overfitting problems in static image classifiers.
• Weakly Supervised Action Localization by Sparse Temporal Pooling Network
  14 Dec 2017 3 repositories listed
  We propose a weakly supervised temporal action localization algorithm on untrimmed videos using convolutional neural networks.
• Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization
  13 Apr 2017 3 repositories listed
  We propose `Hide-and-Seek', a weakly-supervised framework that aims to improve object localization in images and action localization in videos.
• Weakly-Supervised Temporal Action Localization by Progressive Complementary Learning
  22 Jun 2022 2 repositories listed
  Accordingly, we first exclude these surely non-existent categories by a complementary learning loss.
• Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization
  27 Jul 2021 2 repositories listed
  In this work, we argue that the features extracted from the pretrained extractor, e.
• ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization
  7 Apr 2021 2 repositories listed
  Traditional methods mainly focus on foreground and background frames separation with only a single attention branch and class activation sequence.
• Weakly-supervised Temporal Action Localization by Uncertainty Modeling
  12 Jun 2020 2 repositories listed
  Experimental results show that our uncertainty modeling is effective at alleviating the interference of background frames and brings a large performance gain without bells and whistles.
• Background Suppression Network for Weakly-supervised Temporal Action Localization
  22 Nov 2019 2 repositories listed
  This formulation does not fully model the problem in that background frames are forced to be misclassified as action classes to predict video-level labels accurately.
• Guess Where? Actor-Supervision for Spatiotemporal Action Localization
  5 Apr 2018 2 repositories listed
  Second, we propose an actor-based attention mechanism that enables the localization of the actions from action class labels and actor proposals and is end-to-end trainable.
• UntrimmedNets for Weakly Supervised Action Recognition and Detection
  9 Mar 2017 2 repositories listed
  We exploit the learned models for action recognition (WSR) and detection (WSD) on the untrimmed video datasets of THUMOS14 and ActivityNet.
• Multilevel semantic and adaptive actionness learning for weakly supervised temporal action localization
  24 Nov 2024 1 repository listed
  The AAL branch uses pseudo labels to learn class-agnostic action information.
• Weakly supervised temporal action localization with actionness-guided false positive suppression
  15 Apr 2024 1 repository listed
  Our method seeks to suppress false positive backgrounds without introducing the background category.
• Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach
  21 Dec 2023 1 repository listed
  It comprises two core components: a snippet clustering component that groups the snippets into multiple latent clusters and a cluster classification component that further classifies the cluster as foreground or…
• Is Weakly-supervised Action Segmentation Ready For Human-Robot Interaction? No, Let's Improve It With Action-union Learning
  22 Oct 2023 1 repository listed
  To alleviate this issue, we proposed a novel learning pattern in our training stage, which maximizes the probability of action union of surrounding timestamps for unlabeled frames.
• HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation
  24 Aug 2023 1 repository listed
  For snippet-level learning, we introduce an online-updated memory to store reliable snippet prototypes for each class.
• Actionness Inconsistency-guided Contrastive Learning for Weakly-supervised Temporal Action Localization
  26 Jun 2023 1 repository listed
  In principle, the two branches are supposed to produce the same actionness activation.
• Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization
  29 May 2023 1 repository listed
  Weakly-supervised temporal action localization aims to localize and recognize actions in untrimmed videos with only video-level category labels during training.
• Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions
  24 Jul 2022 1 repository listed
  Action understanding has evolved into the era of fine granularity, as most human behaviors in real life have only minor differences.
• Convex Combination Consistency between Neighbors for Weakly-supervised Action Localization
  1 May 2022 1 repository listed
  C³BN consists of two key ingredients: a micro data augmentation strategy that increases the diversity in-between adjacent snippets by convex combination of adjacent snippets, and a macro-micro consistency regularization…
• Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization
  31 Mar 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  We target at the task of weakly-supervised action localization (WSAL), where only video-level action labels are available during model training.
• Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization
  11 Aug 2021 1 repository listed
  To learn completeness from the obtained sequence, we introduce two novel losses that contrast action instances with background ones in terms of action score and feature similarity, respectively.
• FineAction: A Fine-Grained Video Dataset for Temporal Action Localization
  24 May 2021 1 repository listed
  Temporal action localization (TAL) is an important and challenging problem in video understanding.
• Weakly Supervised Action Selection Learning in Video
  6 May 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  A common approach is to train a frame-level classifier where frames with the highest class probability are selected to make a video-level prediction.
• CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning
  30 Mar 2021 1 repository listed
  In this paper, we argue that learning by comparing helps identify these hard snippets and we propose to utilize snippet Contrastive learning to Localize Actions, CoLA for short.
• Temporal Action Segmentation from Timestamp Supervision
  11 Mar 2021 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  To demonstrate the effectiveness of timestamp supervision, we propose an approach to train a segmentation model using only timestamps annotations.
• D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations
  11 Dec 2020 1 repository listed
  The proposed formulation comprises a discriminative and a denoising loss term for enhancing temporal action localization.
• Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization
  13 Jul 2020 1 repository listed
  Two triplets of the feature space are considered in our approach: one triplet is used to learn discriminative features for each activity class, and the other one is used to distinguish the features where no activity…
• Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning
  31 Mar 2020 1 repository listed
  Weakly-supervised action localization requires training a model to localize the action segments in the video given only video level action label.
• Weakly-Supervised Action Localization by Generative Attention Modeling
  27 Mar 2020 1 repository listed
  By maximizing the conditional probability with respect to the attention, the action and non-action frames are well separated.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.