Papers Weakly-supervised Temporal Action Localization
“Weakly-supervised Temporal Action Localization” 태그가 달린 논문 77편 · 필터 해제
Exploring the Temporal Consistency for Point-Level Weakly-Supervised Temporal Action Localization
Point-supervised Temporal Action Localization (PTAL) adopts a lightly frame-annotated paradigm (\textit{i.e.}, labeling only a single frame per action instance) to train a model to effectively locate action instances wit…
Weakly-supervised Temporal Action LocalizationMulti-Task LearningBridge the Gap: From Weak to Full Supervision for Temporal Action Localization with PseudoFormer
Weakly-supervised Temporal Action Localization (WTAL) has achieved notable success but still suffers from a lack of temporal annotations, leading to a performance and framework gap compared with fully-supervised methods.…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationRethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction
Pseudo-label learning methods have been widely applied in weakly-supervised temporal action localization. Existing works directly utilize weakly-supervised base model to generate instance-level pseudo-labels for training…
Action LocalizationDenoisingPseudo LabelTemporal Action Localization+1Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models
Recent breakthroughs in Multimodal Large Language Models (MLLMs) have gained significant recognition within the deep learning community, where the fusion of the Video Foundation Models (VFMs) and Large Language Model…
Action LocalizationTemporal Action LocalizationVideo UnderstandingWeakly-supervised Temporal Action Localization+1Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization
Weakly supervised temporal action localization (WS-TAL) is a task of targeting at localizing complete action instances and categorizing them with video-level labels. Action-background ambiguity, primarily caused by backg…
Action LocalizationOptical Flow EstimationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationMultilevel semantic and adaptive actionness learning for weakly supervised temporal action localization
Weakly supervised temporal action localization aims to identify and localize action instances in untrimmed videos with only video-level labels. Typically, most methods are based on a multiple instance learning framework …
Action ClassificationAction LocalizationMultiple Instance LearningTemporal Action Localization+2Can MLLMs Guide Weakly-Supervised Temporal Action Localization Tasks?
Recent breakthroughs in Multimodal Large Language Models (MLLMs) have gained significant recognition within the deep learning community, where the fusion of the Video Foundation Models (VFMs) and Large Language Models(LL…
Action LocalizationTemporal Action LocalizationVideo UnderstandingWeakly-supervised Temporal Action LocalizationProbabilistic Vision-Language Representation for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization (WTAL) aims to detect action instances in untrimmed videos using only video-level annotations. Since many existing works optimize WTAL models based on action classification …
Action ClassificationAction LocalizationContrastive LearningTemporal Action Localization+1Full-Stage Pseudo Label Quality Enhancement for Weakly-supervised Temporal Action Localization
Weakly-supervised Temporal Action Localization (WSTAL) aims to localize actions in untrimmed videos using only video-level supervision. Latest WSTAL methods introduce pseudo label learning framework to bridge the gap bet…
Action LocalizationContrastive LearningPseudo LabelTemporal Action Localization+1STAT: Towards Generalizable Temporal Action Localization
Weakly-supervised temporal action localization (WTAL) aims to recognize and localize action instances with only video-level labels. Despite the significant progress, existing methods suffer from severe performance degrad…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationWeakly supervised temporal action localization with actionness-guided false positive suppression
Weakly supervised temporal action localization aims to locate the temporal boundaries of action instances in untrimmed videos using video-level labels and assign them the corresponding action category. Generally, it is s…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationRealigning Confidence with Temporal Saliency Information for Point-Level Weakly-Supervised Temporal Action Localization
Point-level weakly-supervised temporal action localization (P-TAL) aims to localize action instances in untrimmed videos through the use of single-point annotations in each instance. Existing methods predict the clas…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationRevisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach
Weakly-supervised temporal action localization aims to localize action instances in videos with only video-level action labels. Existing methods mainly embrace a localization-by-classification pipeline that optimizes the…
Action LocalizationClassificationClusteringTemporal Action Localization+3Sub-action Prototype Learning for Point-level Weakly-supervised Temporal Action Localization
Point-level weakly-supervised temporal action localization (PWTAL) aims to localize actions with only a single timestamp annotation for each action instance. Existing methods tend to mine dense pseudo labels to alleviate…
Action LocalizationPseudo LabelTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationCross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization (WSTAL) aims to localize actions in untrimmed videos using video-level labels. Despite recent advances, existing approaches mainly follow a localization-by-classification pi…
Action LocalizationContrastive LearningSelf-LearningTemporal Action Localization+2DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization
Weakly-supervised temporal action localization (WTAL) is a practical yet challenging task. Due to large-scale datasets, most existing methods use a network pretrained in other datasets to extract features, which are not …
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationActionness Inconsistency-guided Contrastive Learning for Weakly-supervised Temporal Action Localization
Weakly-supervised temporal action localization (WTAL) aims to detect action instances given only video-level labels. To address the challenge, recent methods commonly employ a two-branch framework, consisting of a class-…
Action LocalizationContrastive LearningRepresentation LearningTemporal Action Localization+2Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to localize and recognize actions in untrimmed videos with only video-level category labels during training. Without instance-level annotations, most existing methods f…
Action LocalizationMultiple Instance LearningTemporal Action LocalizationWeakly Supervised Action Localization+1Video-Specific Query-Key Attention Modeling for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to identify and localize the action instances in the untrimmed videos with only video-level action labels. When humans watch videos, we can adapt our abstract-level kno…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationBoosting Weakly-Supervised Temporal Action Localization with Text Information
Due to the lack of temporal annotation, current Weakly-supervised Temporal Action Localization (WTAL) methods are generally stuck into over-complete or incomplete localization. In this paper, we aim to leverage the text …
Action LocalizationSentenceTemporal Action LocalizationWeakly-supervised Temporal Action Localization