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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
Retro-Actions: Learning 'Close' by Time-Reversing 'Open' Videos—0
Explainable Deep Learning for Video Recognition Tasks: A Framework & Recommendations—0
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition—0
Sequence Level Semantics Aggregation for Video Object DetectionCode0
testRNN: Coverage-guided Testing on Recurrent Neural NetworksCode0
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
Early Detection of Injuries in MLB Pitchers from Video—0
Black-box Adversarial Attacks on Video Recognition Models—0
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave ConvolutionCode0
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
A^2-Nets: Double Attention NetworksCode0
AdaFrame: Adaptive Frame Selection for Fast Video Recognition—0
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
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