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Action Recognition In Videos
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Action Recognition in Videos is a task in computer vision and pattern recognition where the goal is to identify and categorize human actions performed in a video sequence. The task involves analyzing the spatiotemporal dynamics of the actions and mapping them to a predefined set of action classes, such as running, jumping, or swimming.
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PALM: Predicting Actions through Language Models
DiffAnt: Diffusion Models for Action Anticipation
Object-centric Video Representation for Long-term Action Anticipation
A Survey on Deep Learning Techniques for Action Anticipation
Knowledge-Guided Short-Context Action Anticipation in Human-Centric Videos
JOADAA: joint online action detection and action anticipation
Leveraging Next-Active Objects for Context-Aware Anticipation in Egocentric Videos
Action Class Relation Detection and Classification Across Multiple Video Datasets
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
Multiscale Video Pretraining for Long-Term Activity Forecasting
Actor-agnostic Multi-label Action Recognition with Multi-modal Query
VS-TransGRU: A Novel Transformer-GRU-based Framework Enhanced by Visual-Semantic Fusion for Egocentric Action Anticipation
Technical Report for Ego4D Long Term Action Anticipation Challenge 2023
Streaming egocentric action anticipation: An evaluation scheme and approach
Palm: Predicting Actions through Language Models @ Ego4D Long-Term Action Anticipation Challenge 2023
Action Anticipation with Goal Consistency
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Analysis over vision-based models for pedestrian action anticipation
Enhancing Next Active Object-based Egocentric Action Anticipation with Guided Attention
Therbligs in Action: Video Understanding through Motion Primitives
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
Dual-path Adaptation from Image to Video Transformers
Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet Transformer
Fine-grained Affordance Annotation for Egocentric Hand-Object Interaction Videos
Inductive Attention for Video Action Anticipation
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning
Interaction Region Visual Transformer for Egocentric Action Anticipation
Knowledge Prompting for Few-shot Action Recognition
Could Giant Pretrained Image Models Extract Universal Representations?
Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation
Rethinking Learning Approaches for Long-Term Action Anticipation
Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation
Learning State-Aware Visual Representations from Audible Interactions
Exploring Modulated Detection Transformer as a Tool for Action Recognition in Videos
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