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Video Recognition

Video Recognition is a process of obtaining, processing, and analysing data that it receives from a visual source, specifically video.

Papers

Showing 101125 of 307 papers

TitleStatusHype
0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event CameraCode1
TAM: Temporal Adaptive Module for Video RecognitionCode1
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture RecognitionCode1
Improved Residual Networks for Image and Video RecognitionCode1
Clean-Label Backdoor Attacks on Video Recognition ModelsCode1
V4D:4D Convolutional Neural Networks for Video-level Representation LearningCode1
Over-the-Air Adversarial Flickering Attacks against Video Recognition NetworksCode1
Large Scale Holistic Video UnderstandingCode1
SlowFast Networks for Video RecognitionCode1
TSM: Temporal Shift Module for Efficient Video UnderstandingCode1
Deep Feature Flow for Video RecognitionCode1
Clockwork Convnets for Video Semantic SegmentationCode1
DVFL-Net: A Lightweight Distilled Video Focal Modulation Network for Spatio-Temporal Action RecognitionCode0
VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language ModelsCode0
Gameplay Highlights Generation0
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos0
CA^2ST: Cross-Attention in Audio, Space, and Time for Holistic Video Recognition0
Leveraging LLMs with Iterative Loop Structure for Enhanced Social Intelligence in Video Question Answering0
VTD-CLIP: Video-to-Text Discretization via Prompting CLIPCode0
Towards Scalable Modeling of Compressed Videos for Efficient Action Recognition0
A Simple and Efficient Baseline for Video Action Recognition0
VideoPure: Diffusion-based Adversarial Purification for Video RecognitionCode0
Action Detail Matters: Refining Video Recognition with Local Action Queries0
DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments0
Standardization Trends on Safety and Trustworthiness Technology for Advanced AI0
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