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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 101–125 of 307 papers

TitleStatusHype
FrameExit: Conditional Early Exiting for Efficient Video RecognitionCode1
Frame Flexible NetworkCode1
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video RecognitionCode1
Adapting Short-Term Transformers for Action Detection in Untrimmed VideosCode1
MViTv2: Improved Multiscale Vision Transformers for Classification and DetectionCode1
Generalized Few-Shot Video Classification with Video Retrieval and Feature GenerationCode1
Audio-Visual Class-Incremental LearningCode1
MAR: Masked Autoencoders for Efficient Action RecognitionCode1
V4D:4D Convolutional Neural Networks for Video-level Representation LearningCode1
Glance and Focus Networks for Dynamic Visual RecognitionCode1
No Time to Waste: Squeeze Time into Channel for Mobile Video UnderstandingCode1
Space-time Mixing Attention for Video TransformerCode1
Demonstration of Vector Flow Imaging using Convolutional Neural Networks—0
Image and Video Mining through Online Learning—0
Action Keypoint Network for Efficient Video Recognition—0
Deep Networks With Large Output Spaces—0
HCMS: Hierarchical and Conditional Modality Selection for Efficient Video Recognition—0
Higher-order Network for Action Recognition—0
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition—0
Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled—0
Hierarchical Action Recognition: A Contrastive Video-Language Approach with Hierarchical Interactions—0
Defending Against Multiple and Unforeseen Adversarial Videos—0
Learning Discriminative Video Representations Using Adversarial Perturbations—0
Audio-Visual Glance Network for Efficient Video Recognition—0
DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection—0
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