Papers Action Localization
“Action Localization” 태그가 달린 논문 369편 · 필터 해제
Multi-modal Prompting for Low-Shot Temporal Action Localization
In this paper, we consider the problem of temporal action localization under low-shot (zero-shot & few-shot) scenario, with the goal of detecting and classifying the action instances from arbitrary categories within some…
Action ClassificationAction LocalizationTemporal Action LocalizationTemporalMaxer: Maximize Temporal Context with only Max Pooling for Temporal Action Localization
Temporal Action Localization (TAL) is a challenging task in video understanding that aims to identify and localize actions within a video sequence. Recent studies have emphasized the importance of applying long-term temp…
Action LocalizationTemporal Action LocalizationVideo UnderstandingCo-Occurrence Matters: Learning Action Relation for Temporal Action Localization
Temporal action localization (TAL) is a prevailing task due to its great application potential. Existing works in this field mainly suffer from two weaknesses: (1) They often neglect the multi-label case and only focus o…
Action LocalizationRelationTemporal Action LocalizationFaster Learning of Temporal Action Proposal via Sparse Multilevel Boundary Generator
Temporal action localization in videos presents significant challenges in the field of computer vision. While the boundary-sensitive method has been widely adopted, its limitations include incomplete use of intermediate …
Action LocalizationTemporal Action LocalizationTemporal Perceiving Video-Language Pre-training
Video-Language Pre-training models have recently significantly improved various multi-modal downstream tasks. Previous dominant works mainly adopt contrastive learning to achieve global feature alignment across modalitie…
Action LocalizationContrastive LearningMoment RetrievalQuestion Answering+6Ego-Only: Egocentric Action Detection without Exocentric Transferring
We present Ego-Only, the first approach that enables state-of-the-art action detection on egocentric (first-person) videos without any form of exocentric (third-person) transferring. Despite the content and appearance ga…
Action DetectionAction LocalizationAction RecognitionTemporal 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 LocalizationAdamsFormer for Spatial Action Localization in the Future
Predicting future action locations is vital for applications like human-robot collaboration. While some computer vision tasks have made progress in predicting human actions, accurately localizing these actions in fut…
Action LocalizationRe2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization
Temporal action localization (TAL) requires long-form reasoning to predict actions of various durations and complex content. Given limited GPU memory, training TAL end to end (i.e., from videos to predictions) on lon…
Action LocalizationGPUTemporal 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 LocalizationLearning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization
Semi-Supervised Temporal Action Localization (SS-TAL) aims to improve the generalization ability of action detectors with large-scale unlabeled videos. Albeit the recent advancement, one of the major challenges still…
Action LocalizationPseudo LabelTemporal Action LocalizationFew-Shot Common Action Localization via Cross-Attentional Fusion of Context and Temporal Dynamics
The goal of this paper is to localize action instances in a long untrimmed query video using just meager trimmed support videos representing a common action whose class information is not given. In this task, it is c…
Action LocalizationBoosting Positive Segments for Weakly-Supervised Audio-Visual Video Parsing
In this paper, we address the problem of weakly supervised Audio-Visual Video Parsing (AVVP), where the goal is to temporally localize events that are audible or visible and simultaneously classify them into known ev…
Action LocalizationMultiple Instance LearningTemporal Action LocalizationChaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events
Understanding and analyzing human behaviors (actions and interactions of people), voices, and sounds in chaotic events is crucial in many applications, e.g., crowd management, emergency response services. Different f…
Action LocalizationPathfinderSound Source LocalizationAnchor-free temporal action localization via Progressive Boundary-aware Boosting
Enormous untrimmed videos from the real world are difficult to analyze and manage. Temporal action localization algorithms can help us to locate and recognize human activity clips in untrimmed videos. Recently, anchor-fr…
Action LocalizationTemporal 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 LocalizationDilation-Erosion for Single-Frame Supervised Temporal Action Localization
To balance the annotation labor and the granularity of supervision, single-frame annotation has been introduced in temporal action localization. It provides a rough temporal location for an action but implicitly overstat…
Action LocalizationTemporal Action LocalizationRe^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization
Temporal action localization (TAL) requires long-form reasoning to predict actions of various durations and complex content. Given limited GPU memory, training TAL end to end (i.e., from videos to predictions) on long vi…
Action LocalizationGPUTemporal 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 Localization