Papers Action Localization
“Action Localization” 태그가 달린 논문 369편 · 필터 해제
MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions
Spatio-temporal action detection is an important and challenging problem in video understanding. The existing action detection benchmarks are limited in aspects of small numbers of instances in a trimmed video or low-lev…
Action DetectionAction LocalizationVideo UnderstandingAction 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 LocalizationRelevance Detection in Cataract Surgery Videos by Spatio-Temporal Action Localization
In cataract surgery, the operation is performed with the help of a microscope. Since the microscope enables watching real-time surgery by up to two people only, a major part of surgical training is conducted using the re…
Action LocalizationRelevance DetectionRetrievalSpatio-Temporal Action Localization+1Action Unit Memory Network for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization aims to detect and localize actions in untrimmed videos with only video-level labels during training. However, without frame-level annotations, it is challenging to achieve …
Action LocalizationDiversityTemporal Action LocalizationWeakly Supervised Action Localization+1Actor-centered Representations for Action Localization in Streaming Videos
Event perception tasks such as recognizing and localizing actions in streaming videos are essential for scaling to real-world application contexts. We tackle the problem of learning actor-centered representations through…
Action LocalizationMultimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos
Multimodal self-supervised learning is getting more and more attention as it allows not only to train large networks without human supervision but also to search and retrieve data across various modalities. In this conte…
Action LocalizationClusteringContrastive LearningLong Video Retrieval (Background Removed)+5Low Pass Filter for Anti-aliasing in Temporal Action Localization
In temporal action localization methods, temporal downsampling operations are widely used to extract proposal features, but they often lead to the aliasing problem, due to lacking consideration of sampling rates. This pa…
Action LocalizationTemporal Action LocalizationObject Priors for Classifying and Localizing Unseen Actions
This work strives for the classification and localization of human actions in videos, without the need for any labeled video training examples. Where existing work relies on transferring global attribute or object inform…
Action ClassificationAction LocalizationAttributeObject+3ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to localize action instances temporal boundary and identify the corresponding action category with only video-level labels. Traditional methods mainly focus on foregrou…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationAdaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to localize actions in untrimmed videos with only video-level action category labels. Most of previous methods ignore the incompleteness issue of Class Activation Seque…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationFew-Shot Transformation of Common Actions into Time and Space
This paper introduces the task of few-shot common action localization in time and space. Given a few trimmed support videos containing the same but unknown action, we strive for spatio-temporal localization of that actio…
Action LocalizationDecoderTemporal LocalizationZeus: Efficiently Localizing Actions in Videos using Reinforcement Learning
Detection and localization of actions in videos is an important problem in practice. State-of-the-art video analytics systems are unable to efficiently and effectively answer such action queries because actions often inv…
Action ClassificationAction DetectionAction LocalizationDeep Reinforcement Learning+3TubeR: Tubelet Transformer for Video Action Detection
We propose TubeR: a simple solution for spatio-temporal video action detection. Different from existing methods that depend on either an off-line actor detector or hand-designed actor-positional hypotheses like proposals…
Action ClassificationAction DetectionAction LocalizationVideo Action Detection+1CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning
Weakly-supervised temporal action localization (WS-TAL) aims to localize actions in untrimmed videos with only video-level labels. Most existing models follow the "localization by classification" procedure: locate tempor…
Action LocalizationCoLAContrastive LearningTemporal Action Localization+2Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context
Weakly-supervised Temporal Action Localization (WS-TAL) methods learn to localize temporal starts and ends of action instances in a video under only video-level supervision. Existing WS-TAL methods rely on deep features …
Action LocalizationAction RecognitionTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationLow-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization
Temporal action localization (TAL) is a fundamental yet challenging task in video understanding. Existing TAL methods rely on pre-training a video encoder through action classification supervision. This results in a task…
Action ClassificationAction LocalizationGPUModel Optimization+3ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization
The object of Weakly-supervised Temporal Action Localization (WS-TAL) is to localize all action instances in an untrimmed video with only video-level supervision. Due to the lack of frame-level annotations during trainin…
Action LocalizationTemporal Action LocalizationVideo Polyp SegmentationWeakly Supervised Action Localization+1Learning Salient Boundary Feature for Anchor-free Temporal Action Localization
Temporal action localization is an important yet challenging task in video understanding. Typically, such a task aims at inferring both the action category and localization of the start and end frame for each action inst…
Action LocalizationTemporal Action LocalizationTemporal LocalizationVideo UnderstandingTemporal Context Aggregation Network for Temporal Action Proposal Refinement
Temporal action proposal generation aims to estimate temporal intervals of actions in untrimmed videos, which is a challenging yet important task in the video understanding field. The proposals generated by current metho…
Action DetectionAction LocalizationRetrievalTemporal Action Localization+2The Blessings of Unlabeled Background in Untrimmed Videos
Weakly-supervised Temporal Action Localization (WTAL) aims to detect the action segments with only video-level action labels in training. The key challenge is how to distinguish the action of interest segments from the b…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action Localization