Papers Action Localization
“Action Localization” 태그가 달린 논문 369편 · 필터 해제
Deep Motion Prior for Weakly-Supervised Temporal Action Localization
Weakly-Supervised Temporal Action Localization (WSTAL) aims to localize actions in untrimmed videos with only video-level labels. Currently, most state-of-the-art WSTAL methods follow a Multi-Instance Learning (MIL) pipe…
Action LocalizationOptical Flow EstimationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationLearning Action Completeness from Points for Weakly-supervised Temporal Action Localization
We tackle the problem of localizing temporal intervals of actions with only a single frame label for each action instance for training. Owing to label sparsity, existing work fails to learn action completeness, resulting…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationTemporal Action Localization Using Gated Recurrent Units
Temporal Action Localization (TAL) task which is to predict the start and end of each action in a video along with the class label of the action has numerous applications in the real world. But due to the complexity of t…
Action LocalizationAction RecognitionTemporal Action LocalizationVideo Contrastive Learning with Global Context
Contrastive learning has revolutionized self-supervised image representation learning field, and recently been adapted to video domain. One of the greatest advantages of contrastive learning is that it allows us to flexi…
Action ClassificationAction LocalizationContrastive LearningRepresentation Learning+2Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization (WS-TAL) is a challenging task that aims to localize action instances in the given video with video-level categorical supervision. Both appearance and motion features are us…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationTransferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021
This technical report presents an overview of our solution used in the submission to 2021 HACS Temporal Action Localization Challenge on both Supervised Learning Track and Weakly-Supervised Learning Track. Temporal Actio…
Action LocalizationTemporal Action LocalizationTransfer LearningWeakly-supervised Learning+1Enriching Local and Global Contexts for Temporal Action Localization
Effectively tackling the problem of temporal action localization (TAL) necessitates a visual representation that jointly pursues two confounding goals, i.e., fine-grained discrimination for temporal localization and suff…
Action ClassificationAction LocalizationRetrievalTemporal Action Localization+1Cross-modal Consensus Network forWeakly Supervised Temporal Action Localization
Weakly supervised temporal action localization (WS-TAL) is a challenging task that aims to localize action instances in the given video with video-level categorical supervision. Both appearance and motion features are us…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationHear Me Out: Fusional Approaches for Audio Augmented Temporal Action Localization
State of the art architectures for untrimmed video Temporal Action Localization (TAL) have only considered RGB and Flow modalities, leaving the information-rich audio modality totally unexploited. Audio fusion has been e…
Action LocalizationAction RecognitionTemporal Action LocalizationExploring Temporal Context and Human Movement Dynamics for Online Action Detection in Videos
Nowadays, the interaction between humans and robots is constantly expanding, requiring more and more human motion recognition applications to operate in real time. However, most works on temporal action detection and rec…
Action DetectionAction LocalizationOnline Action DetectionTemporal Action LocalizationExploring Stronger Feature for Temporal Action Localization
Temporal action localization aims to localize starting and ending time with action category. Limited by GPU memory, mainstream methods pre-extract features for each video. Therefore, feature quality determines the upper …
Action LocalizationGPUTemporal Action LocalizationTwo-Stream Consensus Network: Submission to HACS Challenge 2021 Weakly-Supervised Learning Track
This technical report presents our solution to the HACS Temporal Action Localization Challenge 2021, Weakly-Supervised Learning Track. The goal of weakly-supervised temporal action localization is to temporally locate an…
Action LocalizationOptical Flow EstimationTemporal Action LocalizationWeakly-supervised Learning+1Weakly-Supervised Temporal Action Localization Through Local-Global Background Modeling
Weakly-Supervised Temporal Action Localization (WS-TAL) task aims to recognize and localize temporal starts and ends of action instances in an untrimmed video with only video-level label supervision. Due to lack of negat…
Action LocalizationTemporal Action LocalizationWeakly-supervised LearningWeakly-supervised Temporal Action LocalizationThree Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations
Temporal action detection on unconstrained videos has seen significant research progress in recent years. Deep learning has achieved enormous success in this direction. However, collecting large-scale temporal detect…
Action DetectionAction LocalizationMulti-Task LearningRegion Proposal+1BABEL: Bodies, Action and Behavior with English Labels
Understanding the semantics of human movement -- the what, how and why of the movement -- is an important problem that requires datasets of human actions with semantic labels. Existing datasets take one of two approaches…
3D Action RecognitionAction ClassificationAction LocalizationAction Recognition+2Relation Modeling in Spatio-Temporal Action Localization
This paper presents our solution to the AVA-Kinetics Crossover Challenge of ActivityNet workshop at CVPR 2021. Our solution utilizes multiple types of relation modeling methods for spatio-temporal action detection and ad…
Action DetectionAction LocalizationRelationSpatio-Temporal Action Localization+1Few-Shot Action Localization without Knowing Boundaries
Learning to localize actions in long, cluttered, and untrimmed videos is a hard task, that in the literature has typically been addressed assuming the availability of large amounts of annotated training samples for each …
Action LocalizationFew-Shot LearningTemporal Action Proposal Generation with Transformers
Transformer networks are effective at modeling long-range contextual information and have recently demonstrated exemplary performance in the natural language processing domain. Conventionally, the temporal action proposa…
Action LocalizationTemporal Action LocalizationTemporal Action Proposal GenerationFineAction: A Fine-Grained Video Dataset for Temporal Action Localization
Temporal action localization (TAL) is an important and challenging problem in video understanding. However, most existing TAL benchmarks are built upon the coarse granularity of action classes, which exhibits two major l…
Action DetectionAction LocalizationFine-Grained Action DetectionTemporal Action Localization+3Egocentric Activity Recognition and Localization on a 3D Map
Given a video captured from a first person perspective and the environment context of where the video is recorded, can we recognize what the person is doing and identify where the action occurs in the 3D space? We addres…
Action LocalizationAction RecognitionActivity RecognitionEgocentric Activity Recognition+1