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Action Localization

Action Localization is finding the spatial and temporal co ordinates for an action in a video. An action localization model will identify which frame an action start and ends in video and return the x,y coordinates of an action. Further the co ordinates will change when the object performing action undergoes a displacement.

Papers

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Showing 201–225 of 369 papers

TitleStatusHype
Co-Occurrence Matters: Learning Action Relation for Temporal Action Localization—0
Multi-modal Prompting for Low-Shot Temporal Action Localization—0
Multi-Resolution Audio-Visual Feature Fusion for Temporal Action Localization—0
Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling—0
Contrastive Language-Action Pre-training for Temporal Localization—0
Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020—0
MVP: Robust Multi-View Practice for Driving Action Localization—0
Representation Learning on Visual-Symbolic Graphs for Video Understanding—0
CLIP-AE: CLIP-assisted Cross-view Audio-Visual Enhancement for Unsupervised Temporal Action Localization—0
Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization—0
One-Shot Action Localization by Learning Sequence Matching Network—0
Class Semantics-based Attention for Action Detection—0
Open-Vocabulary Temporal Action Localization using Multimodal Guidance—0
Chain-of-Thought Textual Reasoning for Few-shot Temporal Action Localization—0
OWL (Observe, Watch, Listen): Audiovisual Temporal Context for Localizing Actions in Egocentric Videos—0
PcmNet: Position-Sensitive Context Modeling Network for Temporal Action Localization—0
CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization—0
PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization—0
PLOT-TAL -- Prompt Learning with Optimal Transport for Few-Shot Temporal Action Localization—0
Point3D: tracking actions as moving points with 3D CNNs—0
Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses—0
Pointly-Supervised Action Localization—0
POTLoc: Pseudo-Label Oriented Transformer for Point-Supervised Temporal Action Localization—0
Precise Temporal Action Localization by Evolving Temporal Proposals—0
Predicting the Where and What of Actors and Actions Through Online Action Localization—0
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