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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 151–175 of 307 papers

TitleStatusHype
Audio-Visual Glance Network for Efficient Video Recognition—0
Orthogonal Temporal Interpolation for Zero-Shot Video RecognitionCode0
On the Importance of Spatial Relations for Few-shot Action Recognition—0
View while Moving: Efficient Video Recognition in Long-untrimmed Videos—0
TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible AdapterCode0
Enhanced Multimodal Representation Learning with Cross-modal KD—0
A two-way translation system of Chinese sign language based on computer vision—0
Hiera: A Hierarchical Vision Transformer without the Bells-and-WhistlesCode0
Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition—0
Inter-frame Accelerate Attack against Video Interpolation Models—0
Multi-object Video Generation from Single Frame Layouts—0
Use Your Head: Improving Long-Tail Video RecognitionCode0
Efficient Decision-based Black-box Patch Attacks on Video Recognition—0
Video Action Recognition with Attentive Semantic Units—0
MRET: Multi-resolution Transformer for Video Quality Assessment—0
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition—0
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-based Video Classification Frameworks—0
Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on VideosCode0
Tiny Updater: Towards Efficient Neural Network-Driven Software UpdatingCode0
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition—0
Temporal superimposed crossover module for effective continuous sign language—0
REST: REtrieve & Self-Train for generative action recognition—0
On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition—0
Video Mobile-Former: Video Recognition with Efficient Global Spatial-temporal Modeling—0
Efficient Attention-free Video Shift Transformers—0
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