Papers Action Localization
“Action Localization” 태그가 달린 논문 369편 · 필터 해제
DDG-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 LocalizationNMS Threshold matters for Ego4D Moment Queries -- 2nd place solution to the Ego4D Moment Queries Challenge 2023
This report describes our submission to the Ego4D Moment Queries Challenge 2023. Our submission extends ActionFormer, a latest method for temporal action localization. Our extension combines an improved ground-truth assi…
Action LocalizationMoment QueriesTemporal 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+2Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition
The prevalence of violence in daily life poses significant threats to individuals' physical and mental well-being. Using surveillance cameras in public spaces has proven effective in proactively deterring and preventing …
Action LocalizationAction RecognitionPose EstimationPrivacy Preserving+1Multi-Granularity Hand Action Detection
Detecting hand actions in videos is crucial for understanding video content and has diverse real-world applications. Existing approaches often focus on whole-body actions or coarse-grained action categories, lacking fine…
Action DetectionAction LocalizationAction RecognitionDenoising+4A Survey on Video Moment Localization
Video moment localization, also known as video moment retrieval, aiming to search a target segment within a video described by a given natural language query. Beyond the task of temporal action localization whereby the t…
Action LocalizationMoment RetrievalRetrievalSurvey+1Proposal-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+1Action Sensitivity Learning for Temporal Action Localization
Temporal action localization (TAL), which involves recognizing and locating action instances, is a challenging task in video understanding. Most existing approaches directly predict action classes and regress offsets to …
Action LocalizationMoment QueriesSensitivityTemporal Action Localization+1Learning Higher-order Object Interactions for Keypoint-based Video Understanding
Action recognition is an important problem that requires identifying actions in video by learning complex interactions across scene actors and objects. However, modern deep-learning based networks often require significa…
Action LocalizationAction RecognitionObjectVideo UnderstandingVideo-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 LocalizationWeakly-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 LocalizationDeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos
Identifying unusual driving behaviors exhibited by drivers during driving is essential for understanding driver behavior and the underlying causes of crashes. Previous studies have primarily approached this problem as a …
Action LocalizationClassificationSegmentationTemporal Action LocalizationWEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition
Research has shown the complementarity of camera- and inertial-based data for modeling human activities, yet datasets with both egocentric video and inertial-based sensor data remain scarce. In this paper, we introduce W…
Action DetectionAction LocalizationEgocentric Activity RecognitionHuman Activity Recognition+2JCDNet: 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+1Decomposed Cross-modal Distillation for RGB-based Temporal Action Detection
Temporal action detection aims to predict the time intervals and the classes of action instances in the video. Despite the promising performance, existing two-stream models exhibit slow inference speed due to their relia…
Action DetectionAction LocalizationOptical Flow EstimationTransfer LearningStructured Video-Language Modeling with Temporal Grouping and Spatial Grounding
Existing video-language pre-training methods primarily focus on instance-level alignment between video clips and captions via global contrastive learning but neglect rich fine-grained local information in both videos and…
Action LocalizationAction RecognitionContrastive LearningLanguage Modeling+7Unified 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 Localization