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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
Multi-Modal Multi-Action Video RecognitionCode0
Fast Approximate Modelling of the Next Combination Result for Stopping the Text Recognition in a VideoCode0
Learning to Localize Temporal Events in Large-scale Video DataCode0
Collaborative Spatio-temporal Feature Learning for Video Action RecognitionCode0
Collaborative Spatiotemporal Feature Learning for Video Action RecognitionCode0
Inter-intra Variant Dual Representations forSelf-supervised Video RecognitionCode0
Flow-Guided Feature Aggregation for Video Object DetectionCode0
FAR: Fourier Aerial Video RecognitionCode0
Sparse Black-box Video Attack with Reinforcement LearningCode0
Spatial-temporal Concept based Explanation of 3D ConvNetsCode0
VTD-CLIP: Video-to-Text Discretization via Prompting CLIPCode0
Revisiting 3D ResNets for Video RecognitionCode0
Gate-Shift-Fuse for Video Action RecognitionCode0
ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video RecognitionCode0
HaltingVT: Adaptive Token Halting Transformer for Efficient Video RecognitionCode0
GenRec: Unifying Video Generation and Recognition with Diffusion ModelsCode0
PosMLP-Video: Spatial and Temporal Relative Position Encoding for Efficient Video RecognitionCode0
VideoPure: Diffusion-based Adversarial Purification for Video RecognitionCode0
MLP-3D: A MLP-like 3D Architecture with Grouped Time MixingCode0
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
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