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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
Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks—0
Adaptive Detrending to Accelerate Convolutional Gated Recurrent Unit Training for Contextual Video Recognition—0
On the Importance of Spatial Relations for Few-shot Action Recognition—0
On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study—0
On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition—0
PA3D: Pose-Action 3D Machine for Video Recognition—0
Towards Scalable Modeling of Compressed Videos for Efficient Action Recognition—0
Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos—0
Transfer Learning for Video Recognition with Scarce Training Data for Deep Convolutional Neural Network—0
Attention Distillation for Learning Video Representations—0
Percept, Chat, and then Adapt: Multimodal Knowledge Transfer of Foundation Models for Open-World Video Recognition—0
Phase-Specific Augmented Reality Guidance for Microscopic Cataract Surgery Using Long-Short Spatiotemporal Aggregation Transformer—0
Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic Scenarios—0
Action Keypoint Network for Efficient Video Recognition—0
A^2-Nets: Double Attention Networks—0
Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case—0
PV-NAS: Practical Neural Architecture Search for Video Recognition—0
Action Detail Matters: Refining Video Recognition with Local Action Queries—0
A Simple and Efficient Baseline for Video Action Recognition—0
Attention Transfer from Web Images for Video Recognition—0
A two-way translation system of Chinese sign language based on computer vision—0
Recognizing Actions in Videos from Unseen Viewpoints—0
Audio-Visual Fusion Layers for Event Type Aware Video Recognition—0
Audio-Visual Glance Network for Efficient Video Recognition—0
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search—0
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