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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 176–200 of 307 papers

TitleStatusHype
Adaptive occlusion sensitivity analysis for visually explaining video recognition networksCode0
Object State Change Classification in Egocentric Videos using the Divided Space-Time Attention MechanismCode0
NSNet: Non-saliency Suppression Sampler for Efficient Video Recognition—0
Temporal Saliency Query Network for Efficient Video Recognition—0
Is an Object-Centric Video Representation Beneficial for Transfer?—0
VidConv: A modernized 2D ConvNet for Efficient Video RecognitionCode0
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022: Team HNU-FPV Technical Report—0
Exploring Temporally Dynamic Data Augmentation for Video Recognition—0
M&M Mix: A Multimodal Multiview Transformer Ensemble—0
MLP-3D: A MLP-like 3D Architecture with Grouped Time MixingCode0
Spatial-temporal Concept based Explanation of 3D ConvNetsCode0
Noise-Tolerant Learning for Audio-Visual Action Recognition—0
Class-Incremental Learning for Action Recognition in Videos—0
FAR: Fourier Aerial Video RecognitionCode0
Gate-Shift-Fuse for Video Action RecognitionCode0
Audio-Visual Fusion Layers for Event Type Aware Video Recognition—0
Should I take a walk? Estimating Energy Expenditure from Video DataCode0
Action Keypoint Network for Efficient Video Recognition—0
Condensing a Sequence to One Informative Frame for Video Recognition—0
Optimization Planning for 3D ConvNetsCode0
Improving Video Model Transfer With Dynamic Representation Learning—0
Recurring the Transformer for Video Action Recognition—0
Cross-Modal Transferable Adversarial Attacks from Images to Videos—0
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search—0
ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video RecognitionCode0
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