Papers Weakly-supervised Temporal Action Localization
“Weakly-supervised Temporal Action Localization” 태그가 달린 논문 77편 · 필터 해제
Weakly-Supervised Temporal Action Localization with Bidirectional Semantic Consistency Constraint
Weakly Supervised Temporal Action Localization (WTAL) aims to classify and localize temporal boundaries of actions for the video, given only video-level category labels in the training datasets. Due to the lack of bounda…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationImproving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels
The task of weakly supervised temporal action localization targets at generating temporal boundaries for actions of interest, meanwhile the action category should also be classified. Pseudo-label-based methods, which ser…
Action LocalizationPseudo LabelTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationJCDNet: Joint of Common and Definite phases Network for Weakly Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to localize action instances in untrimmed videos with only video-level supervision. We witness that different actions record common phases, e.g., the run-up in the High…
Action LocalizationMultiple Instance LearningTemporal Action LocalizationWeakly-supervised Learning+1Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling
This paper simultaneously addresses three limitations associated with conventional skeleton-based action recognition; skeleton detection and tracking errors, poor variety of the targeted actions, as well as person-wise a…
Action LocalizationAction RecognitionActivity RecognitionData Augmentation+6Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature
Weakly-supervised temporal action localization aims to locate action regions and identify action categories in untrimmed videos simultaneously by taking only video-level labels as the supervision. Pseudo label generation…
Action LocalizationPseudo LabelTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationPivoTAL: 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+1Cascade Evidential Learning for Open-World Weakly-Supervised Temporal Action Localization
Targeting at recognizing and localizing action instances with only video-level labels during training, Weakly-supervised Temporal Action Localization (WTAL) has achieved significant progress in recent years. However,…
Action LocalizationOpen Set LearningTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationDistilling Vision-Language Pre-training to Collaborate with Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization (WTAL) learns to detect and classify action instances with only category labels. Most methods widely adopt the off-the-shelf Classification-Based Pre-training (CBP) to gener…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationSlow Motion Matters: A Slow Motion Enhanced Network for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization (WTAL) aims to localize actions in untrimmed videos with only weak supervision information (e.g. video-level labels). Most existing models handle all input videos with a fix…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationEnabling Weakly-Supervised Temporal Action Localization from On-Device Learning of the Video Stream
Detecting actions in videos have been widely applied in on-device applications. Practical on-device videos are always untrimmed with both action and background. It is desirable for a model to both recognize the class of …
Action DetectionAction LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationConsistency-based Self-supervised Learning for Temporal Anomaly Localization
This work tackles Weakly Supervised Anomaly detection, in which a predictor is allowed to learn not only from normal examples but also from a few labeled anomalies made available during training. In particular, we deal w…
Anomaly Detection In Surveillance VideosAnomaly LocalizationSelf-Supervised LearningSupervised Anomaly Detection+2Forcing the Whole Video as Background: An Adversarial Learning Strategy for Weakly Temporal Action Localization
With video-level labels, weakly supervised temporal action localization (WTAL) applies a localization-by-classification paradigm to detect and classify the action in untrimmed videos. Due to the characteristic of classif…
Action LocalizationClassificationTemporal Action LocalizationWeakly-supervised Temporal 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+2Convex 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+3ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to recognize and localize action segments in untrimmed videos given only video-level action labels for training. Without the boundary information of action segments, ex…
Temporal Action LocalizationWeakly-supervised Temporal Action LocalizationWeakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation
Weakly supervised temporal action localization aims to localize temporal boundaries of actions and simultaneously identify their categories with only video-level category labels. Many existing methods seek to generate ps…
Action LocalizationPseudo LabelTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationExploring Denoised Cross-Video Contrast for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to localize actions in untrimmed videos with only video-level labels. Most existing methods address this problem with a "localization-by-classification" pipeline th…
Action LocalizationContrastive LearningDenoisingPseudo Label+3ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization
Weakly-supervised temporal action localization (WTAL) in untrimmed videos has emerged as a practical but challenging task since only video-level labels are available. Existing approaches typically leverage off-the-shelf …
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action Localization