Papers Weakly-supervised Temporal Action Localization
“Weakly-supervised Temporal Action Localization” 태그가 달린 논문 77편 · 필터 해제
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization
Temporally localizing activities within untrimmed videos has been extensively studied in recent years. Despite recent advances, existing methods for weakly-supervised temporal activity localization struggle to recognize …
Metric LearningTripletWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationWeakly Supervised Temporal Action Localization with Segment-Level Labels
Temporal action localization presents a trade-off between test performance and annotation-time cost. Fully supervised methods achieve good performance with time-consuming boundary annotations. Weakly supervised methods w…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationWeakly-supervised Temporal Action Localization by Uncertainty Modeling
Weakly-supervised temporal action localization aims to learn detecting temporal intervals of action classes with only video-level labels. To this end, it is crucial to separate frames of action classes from the backgroun…
Action ClassificationAction LocalizationMultiple Instance LearningOut-of-Distribution Detection+3Weakly-Supervised Action Localization by Generative Attention Modeling
Weakly-supervised temporal action localization is a problem of learning an action localization model with only video-level action labeling available. The general framework largely relies on the classification activation,…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationWeakly Supervised Temporal Action Localization Using Deep Metric Learning
Temporal action localization is an important step towards video understanding. Most current action localization methods depend on untrimmed videos with full temporal annotations of action instances. However, it is expens…
Action LocalizationMetric LearningTemporal Action LocalizationTemporal Localization+2Background Suppression Network for Weakly-supervised Temporal Action Localization
Weakly-supervised temporal action localization is a very challenging problem because frame-wise labels are not given in the training stage while the only hint is video-level labels: whether each video contains action fra…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationTowards Train-Test Consistency for Semi-supervised Temporal Action Localization
Recently, Weakly-supervised Temporal Action Localization (WTAL) has been densely studied but there is still a large gap between weakly-supervised models and fully-supervised models. It is practical and intuitive to annot…
Action LocalizationMultiple Instance LearningTemporal Action LocalizationVideo Classification+1Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks
Weakly-supervised temporal action localization (WS-TAL) is a promising but challenging task with only video-level action categorical labels available during training. Without requiring temporal action boundary annotation…
Action ClassificationAction LocalizationTemporal Action LocalizationWeakly Supervised Action Localization+13C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization
Temporal action localization is a challenging computer vision problem with numerous real-world applications. Most existing methods require laborious frame-level supervision to train action localization models. In this wo…
Action ClassificationAction LocalizationTemporal Action LocalizationWeakly Supervised Action Localization+1Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization
Temporal action localization is an important yet challenging research topic due to its various applications. Since the frame-level or segment-level annotations of untrimmed videos require amounts of labor expenditure, st…
Action DetectionAction LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationCompleteness Modeling and Context Separation for Weakly Supervised Temporal Action Localization
Temporal action localization is crucial for understanding untrimmed videos. In this work, we first identify two underexplored problems posed by the weak supervision for temporal action localization, namely action complet…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationMarginalized Average Attentional Network for Weakly-Supervised Learning
In weakly-supervised temporal action localization, previous works have failed to locate dense and integral regions for each entire action due to the overestimation of the most salient regions. To alleviate this issue, we…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Learning+1RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization
Video action detectors are usually trained using datasets with fully-supervised temporal annotations. Building such datasets is an expensive task. To alleviate this problem, recent methods have tried to leverage weak lab…
Action LocalizationTemporal Action LocalizationTemporal LocalizationWeakly Supervised Action Localization+1Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization, which aims at temporally locating action instances in untrimmed videos using only video-level class labels during training, is an important yet challenging problem in video…
Action LocalizationGeneral ClassificationTemporal Action LocalizationVideo Classification+1AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos
Temporal Action Localization (TAL) in untrimmed video is important for many applications. But it is very expensive to annotate the segment-level ground truth (action class and temporal boundary). This raises the interest…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationAutoLoc: Weakly-supervised Temporal Action Localization
Temporal Action Localization (TAL) in untrimmed video is important for many applications. But it is very expensive to annotate the segment-level ground truth (action class and temporal boundary). This raises the interest…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationWeakly Supervised Action Localization by Sparse Temporal Pooling Network
We propose a weakly supervised temporal action localization algorithm on untrimmed videos using convolutional neural networks. Our algorithm learns from video-level class labels and predicts temporal intervals of human a…
Action ClassificationAction LocalizationTemporal Action LocalizationTemporal Localization+2