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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

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Showing 226–250 of 307 papers

TitleStatusHype
X3D: Expanding Architectures for Efficient Video RecognitionCode2
BosphorusSign22k Sign Language Recognition Dataset—0
Omni-sourced Webly-supervised Learning for Video RecognitionCode2
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
Symbiotic Attention with Privileged Information for Egocentric Action Recognition—0
Audiovisual SlowFast Networks for Video RecognitionCode0
Sparse Black-box Video Attack with Reinforcement LearningCode0
Flow-Distilled IP Two-Stream Networks for Compressed Video Action Recognition—0
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition—0
Learning Efficient Video Representation with Video Shuffle Networks—0
TEINet: Towards an Efficient Architecture for Video Recognition—0
Heuristic Black-box Adversarial Attacks on Video Recognition ModelsCode0
Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain—0
Coverage Guided Testing for Recurrent Neural Networks—0
Learning to Localize Temporal Events in Large-scale Video DataCode0
Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos—0
A Video Recognition Method by using Adaptive Structural Learning of Long Short Term Memory based Deep Belief Network—0
Scheduled Differentiable Architecture Search for Visual Recognition—0
Retro-Actions: Learning 'Close' by Time-Reversing 'Open' Videos—0
Explainable Deep Learning for Video Recognition Tasks: A Framework & Recommendations—0
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition—0
Sequence Level Semantics Aggregation for Video Object DetectionCode0
testRNN: Coverage-guided Testing on Recurrent Neural NetworksCode0
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