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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 101–150 of 369 papers

TitleStatusHype
Bridge the Gap: From Weak to Full Supervision for Temporal Action Localization with PseudoFormer—0
Boundary Uncertainty in a Single-Stage Temporal Action Localization Network—0
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization—0
Action Localization through Continual Predictive Learning—0
Boundary-Aware Proposal Generation Method for Temporal Action Localization—0
Enabling Weakly-Supervised Temporal Action Localization from On-Device Learning of the Video Stream—0
AdamsFormer for Spatial Action Localization in the Future—0
Boosting Semi-Supervised Temporal Action Localization by Learning from Non-Target Classes—0
Egocentric Activity Recognition and Localization on a 3D Map—0
Efficient Action Localization with Approximately Normalized Fisher Vectors—0
Action Localization in Videos Through Context Walk—0
A Better Baseline for AVA—0
Low-Fidelity Video Encoder Optimization for Temporal Action Localization—0
Ego-Only: Egocentric Action Detection without Exocentric Transferring—0
Efficient Action Detection in Untrimmed Videos via Multi-Task Learning—0
Boosting Point-Supervised Temporal Action Localization through Integrating Query Reformation and Optimal Transport—0
Divide and Conquer for Single-Frame Temporal Action Localization—0
Distributed Adaptive Learning of Graph Signals—0
BLP -- Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization—0
Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization—0
Equivalent Classification Mapping for Weakly Supervised Temporal Action Localization—0
Distilling Vision-Language Pre-training to Collaborate with Weakly-Supervised Temporal Action Localization—0
BID: Boundary-Interior Decoding for Unsupervised Temporal Action Localization Pre-Trainin—0
Localizing Unseen Activities in Video via Image Query—0
Exploring Feature Representation and Training strategies in Temporal Action Localization—0
Exploring Frame Segmentation Networks for Temporal Action Localization—0
Activity Graph Transformer for Temporal Action Localization—0
Beyond Caption To Narrative: Video Captioning With Multiple Sentences—0
Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks—0
LocATe: End-to-end Localization of Actions in 3D with Transformers—0
LoSA: Long-Short-range Adapter for Scaling End-to-End Temporal Action Localization—0
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models—0
Detecting Parts for Action Localization—0
Localizing Actions from Video Labels and Pseudo-Annotations—0
Density-Guided Label Smoothing for Temporal Localization of Driving Actions—0
Active Learning with Effective Scoring Functions for Semi-Supervised Temporal Action Localization—0
Localizing Moments of Actions in Untrimmed Videos of Infants with Autism Spectrum Disorder—0
Deep Motion Prior for Weakly-Supervised Temporal Action Localization—0
DeepLocalization: Using change point detection for Temporal Action Localization—0
Action Unit Memory Network for Weakly Supervised Temporal Action Localization—0
LLM-powered Query Expansion for Enhancing Boundary Prediction in Language-driven Action Localization—0
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization—0
Low Pass Filter for Anti-aliasing in Temporal Action Localization—0
Decomposed Cross-modal Distillation for RGB-based Temporal Action Detection—0
DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments—0
DAP3D-Net: Where, What and How Actions Occur in Videos?—0
AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos—0
Cutup and Detect: Human Fall Detection on Cutup Untrimmed Videos Using a Large Foundational Video Understanding Model—0
A Proposed Artificial intelligence Model for Real-Time Human Action Localization and Tracking—0
Cross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization—0
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