Papers Weakly-supervised Temporal Action Localization
“Weakly-supervised Temporal Action Localization” 태그가 달린 논문 77편 · 필터 해제
Background-Click Supervision for Temporal Action Localization
Weakly supervised temporal action localization aims at learning the instance-level action pattern from the video-level labels, where a significant challenge is action-context confusion. To overcome this challenge, one re…
Action LocalizationPositionTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationForeground-Action Consistency Network for Weakly Supervised Temporal Action Localization
As a challenging task of high-level video understanding, weakly supervised temporal action localization has been attracting increasing attention. With only video annotations, most existing methods seek to handle this tas…
Action LocalizationMultiple Instance LearningTemporal Action LocalizationVideo Understanding+1Deep Motion Prior for Weakly-Supervised Temporal Action Localization
Weakly-Supervised Temporal Action Localization (WSTAL) aims to localize actions in untrimmed videos with only video-level labels. Currently, most state-of-the-art WSTAL methods follow a Multi-Instance Learning (MIL) pipe…
Action LocalizationOptical Flow EstimationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationLearning Action Completeness from Points for Weakly-supervised Temporal Action Localization
We tackle the problem of localizing temporal intervals of actions with only a single frame label for each action instance for training. Owing to label sparsity, existing work fails to learn action completeness, resulting…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationCross-modal Consensus Network for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization (WS-TAL) is a challenging task that aims to localize action instances in the given video with video-level categorical supervision. Both appearance and motion features are us…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationTransferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021
This technical report presents an overview of our solution used in the submission to 2021 HACS Temporal Action Localization Challenge on both Supervised Learning Track and Weakly-Supervised Learning Track. Temporal Actio…
Action LocalizationTemporal Action LocalizationTransfer LearningWeakly-supervised Learning+1Cross-modal Consensus Network forWeakly Supervised Temporal Action Localization
Weakly supervised temporal action localization (WS-TAL) is a challenging task that aims to localize action instances in the given video with video-level categorical supervision. Both appearance and motion features are us…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationTwo-Stream Consensus Network: Submission to HACS Challenge 2021 Weakly-Supervised Learning Track
This technical report presents our solution to the HACS Temporal Action Localization Challenge 2021, Weakly-Supervised Learning Track. The goal of weakly-supervised temporal action localization is to temporally locate an…
Action LocalizationOptical Flow EstimationTemporal Action LocalizationWeakly-supervised Learning+1Weakly-Supervised Temporal Action Localization Through Local-Global Background Modeling
Weakly-Supervised Temporal Action Localization (WS-TAL) task aims to recognize and localize temporal starts and ends of action instances in an untrimmed video with only video-level label supervision. Due to lack of negat…
Action LocalizationTemporal Action LocalizationWeakly-supervised LearningWeakly-supervised Temporal Action LocalizationAction Unit Memory Network for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization aims to detect and localize actions in untrimmed videos with only video-level labels during training. However, without frame-level annotations, it is challenging to achieve …
Action LocalizationDiversityTemporal Action LocalizationWeakly Supervised Action Localization+1ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to localize action instances temporal boundary and identify the corresponding action category with only video-level labels. Traditional methods mainly focus on foregrou…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationAdaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to localize actions in untrimmed videos with only video-level action category labels. Most of previous methods ignore the incompleteness issue of Class Activation Seque…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationCoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning
Weakly-supervised temporal action localization (WS-TAL) aims to localize actions in untrimmed videos with only video-level labels. Most existing models follow the "localization by classification" procedure: locate tempor…
Action LocalizationCoLAContrastive LearningTemporal Action Localization+2Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context
Weakly-supervised Temporal Action Localization (WS-TAL) methods learn to localize temporal starts and ends of action instances in a video under only video-level supervision. Existing WS-TAL methods rely on deep features …
Action LocalizationAction RecognitionTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization
The object of Weakly-supervised Temporal Action Localization (WS-TAL) is to localize all action instances in an untrimmed video with only video-level supervision. Due to the lack of frame-level annotations during trainin…
Action LocalizationTemporal Action LocalizationVideo Polyp SegmentationWeakly Supervised Action Localization+1The Blessings of Unlabeled Background in Untrimmed Videos
Weakly-supervised Temporal Action Localization (WTAL) aims to detect the action segments with only video-level action labels in training. The key challenge is how to distinguish the action of interest segments from the b…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationA Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
Weakly supervised temporal action localization is a challenging vision task due to the absence of ground-truth temporal locations of actions in the training videos. With only video-level supervision during training, most…
Action LocalizationHard AttentionMultiple Instance LearningTemporal Action Localization+1D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations
This work proposes a weakly-supervised temporal action localization framework, called D2-Net, which strives to temporally localize actions using video-level supervision. Our main contribution is the introduction of a nov…
Action LocalizationDenoisingTemporal Action LocalizationWeakly Supervised Action Localization+1Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization
Weakly-supervised Temporal Action Localization (W-TAL) aims to classify and localize all action instances in an untrimmed video under only video-level supervision. However, without frame-level annotations, it is challeng…
Action LocalizationTemporal Action LocalizationVocal Bursts Valence PredictionWeakly Supervised Action Localization+1Equivalent Classification Mapping for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization is a newly emerging yet widely studied topic in recent years. The existing methods can be categorized into two localization-by-classification pipelines, i.e., the pre-classi…
Action LocalizationClassificationGeneral ClassificationTemporal Action Localization+1