SOTAVerified

Video Recognition

Video Recognition is a process of obtaining, processing, and analysing data that it receives from a visual source, specifically video.

Papers

Showing 2650 of 307 papers

TitleStatusHype
Audio-Visual Class-Incremental LearningCode1
Clean-Label Backdoor Attacks on Video Recognition ModelsCode1
Implicit Temporal Modeling with Learnable Alignment for Video RecognitionCode1
Adaptive Focus for Efficient Video RecognitionCode1
Improved Residual Networks for Image and Video RecognitionCode1
AdaMML: Adaptive Multi-Modal Learning for Efficient Video RecognitionCode1
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture RecognitionCode1
DualFormer: Local-Global Stratified Transformer for Efficient Video RecognitionCode1
Efficient Movie Scene Detection using State-Space TransformersCode1
Fast Differentiable Matrix Square Root and Inverse Square RootCode1
Building an Open-Vocabulary Video CLIP Model with Better Architectures, Optimization and DataCode1
Can An Image Classifier Suffice For Action Recognition?Code1
DEVIAS: Learning Disentangled Video Representations of Action and SceneCode1
DSANet: Dynamic Segment Aggregation Network for Video-Level Representation LearningCode1
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-LearningCode1
Boosting the Transferability of Video Adversarial Examples via Temporal TranslationCode1
Dynamic Network Quantization for Efficient Video InferenceCode1
AdaFocusV3: On Unified Spatial-temporal Dynamic Video RecognitionCode1
Clockwork Convnets for Video Semantic SegmentationCode1
Cluster and Aggregate: Face Recognition with Large Probe SetCode1
Efficient Video Transformers with Spatial-Temporal Token SelectionCode1
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video RecognitionCode1
Frame Flexible NetworkCode1
Attacking Video Recognition Models with Bullet-Screen CommentsCode1
Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer LearningCode1
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