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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 251–275 of 307 papers

TitleStatusHype
Learning Spatio-Temporal Representation with Local and Global DiffusionCode0
Collaborative Spatiotemporal Feature Learning for Video Action RecognitionCode0
PA3D: Pose-Action 3D Machine for Video Recognition—0
Design Light-weight 3D Convolutional Networks for Video Recognition Temporal Residual, Fully Separable Block, and Fast Algorithm—0
Large Scale Holistic Video UnderstandingCode1
Early Detection of Injuries in MLB Pitchers from Video—0
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave ConvolutionCode0
Black-box Adversarial Attacks on Video Recognition Models—0
Attention Distillation for Learning Video Representations—0
Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationCode0
Demonstration of Vector Flow Imaging using Convolutional Neural Networks—0
Collaborative Spatio-temporal Feature Learning for Video Action RecognitionCode0
DistInit: Learning Video Representations Without a Single Labeled Video—0
SlowFast Networks for Video RecognitionCode1
A^2-Nets: Double Attention NetworksCode0
AdaFrame: Adaptive Frame Selection for Fast Video Recognition—0
TSM: Temporal Shift Module for Efficient Video UnderstandingCode1
Multi-Task Learning of Generalizable Representations for Video Action Recognition—0
Higher-order Network for Action Recognition—0
A^2-Nets: Double Attention Networks—0
Morph: Flexible Acceleration for 3D CNN-based Video Understanding—0
Non-local NetVLAD Encoding for Video Classification—0
Learning Effective RGB-D Representations for Scene Recognition—0
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation—0
Learning Discriminative Video Representations Using Adversarial Perturbations—0
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