Papers Weakly Supervised Action Localization
“Weakly Supervised Action Localization” 태그가 달린 논문 55편 · 필터 해제
Multilevel 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+2Weakly 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 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+3Is Weakly-supervised Action Segmentation Ready For Human-Robot Interaction? No, Let's Improve It With Action-union Learning
Action segmentation plays an important role in enabling robots to automatically understand human activities. To train the action recognition model, while obtaining action labels for all frames is costly, annotating times…
Action RecognitionAction SegmentationSegmentationWeakly Supervised Action Localization+1POTLoc: Pseudo-Label Oriented Transformer for Point-Supervised Temporal Action Localization
This paper tackles the challenge of point-supervised temporal action detection, wherein only a single frame is annotated for each action instance in the training set. Most of the current methods, hindered by the sparse n…
Action DetectionAction LocalizationPseudo LabelTemporal Action Localization+1HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation
Point-supervised Temporal Action Localization (PSTAL) is an emerging research direction for label-efficient learning. However, current methods mainly focus on optimizing the network either at the snippet-level or the ins…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling
Weakly-supervised action localization aims to recognize and localize action instancese in untrimmed videos with only video-level labels. Most existing models rely on multiple instance learning(MIL), where the predictions…
Action LocalizationMultiple Instance LearningWeakly Supervised 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+1PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization
Weakly-supervised Temporal Action Localization (WTAL) attempts to localize the actions in untrimmed videos using only video-level supervision. Most recent works approach WTAL from a localization-by-classification per…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationTwo-Stream Networks for Weakly-Supervised Temporal Action Localization With Semantic-Aware Mechanisms
Weakly-supervised temporal action localization aims to detect action boundaries in untrimmed videos with only video-level annotations. Most existing schemes detect temporal regions that are most responsive to video-l…
Action LocalizationMultiple Instance LearningTemporal Action LocalizationWeakly Supervised Action Localization+1Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions
Action understanding has evolved into the era of fine granularity, as most human behaviors in real life have only minor differences. To detect these fine-grained actions accurately in a label-efficient way, we tackle the…
Action DetectionAction UnderstandingFine-Grained Action DetectionWeakly Supervised Action LocalizationWeakly-Supervised Temporal Action Localization by Progressive Complementary Learning
Weakly Supervised Temporal Action Localization (WSTAL) aims to localize and classify action instances in long untrimmed videos with only video-level category labels. Due to the lack of snippet-level supervision for indic…
Action LocalizationMultiple Instance LearningRepresentation LearningTemporal Action Localization+20/1 Deep Neural Networks via Block Coordinate Descent
The step function is one of the simplest and most natural activation functions for deep neural networks (DNNs). As it counts 1 for positive variables and 0 for others, its intrinsic characteristics (e.g., discontinuity a…
10-shot image generation16k2D Object Detection+92Convex Combination Consistency between Neighbors for Weakly-supervised Action Localization
Weakly-supervised temporal action localization (WTAL) intends to detect action instances with only weak supervision, e.g., video-level labels. The current~\textit{de facto} pipeline locates action instances by thresholdi…
Action LocalizationData AugmentationTemporal Action LocalizationVideo Classification+2Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization
We target at the task of weakly-supervised action localization (WSAL), where only video-level action labels are available during model training. Despite the recent progress, existing methods mainly embrace a localization…
Action LocalizationClassificationContrastive LearningInductive Bias+3Learning 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 LocalizationFineAction: A Fine-Grained Video Dataset for Temporal Action Localization
Temporal action localization (TAL) is an important and challenging problem in video understanding. However, most existing TAL benchmarks are built upon the coarse granularity of action classes, which exhibits two major l…
Action DetectionAction LocalizationFine-Grained Action DetectionTemporal Action Localization+3Action Shuffling for Weakly Supervised Temporal Localization
Weakly supervised action localization is a challenging task with extensive applications, which aims to identify actions and the corresponding temporal intervals with only video-level annotations available. This paper ana…
Action LocalizationTemporal LocalizationWeakly Supervised Action Localization