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
AdaMML: Adaptive Multi-Modal Learning for Efficient Video RecognitionCode1
Generalized Few-Shot Video Classification with Video Retrieval and Feature GenerationCode1
Adaptive Focus for Efficient Video RecognitionCode1
Improved Residual Networks for Image and Video RecognitionCode1
FrameExit: Conditional Early Exiting for Efficient Video RecognitionCode1
Dynamic Network Quantization for Efficient Video InferenceCode1
Frame Flexible NetworkCode1
Glance and Focus Networks for Dynamic Visual RecognitionCode1
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
Boosting the Transferability of Video Adversarial Examples via Temporal TranslationCode1
DSANet: Dynamic Segment Aggregation Network for Video-Level Representation LearningCode1
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-LearningCode1
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture RecognitionCode1
AdaFocusV3: On Unified Spatial-temporal Dynamic Video RecognitionCode1
Clean-Label Backdoor Attacks on Video Recognition ModelsCode1
Clockwork Convnets for Video Semantic SegmentationCode1
Cluster and Aggregate: Face Recognition with Large Probe SetCode1
DualFormer: Local-Global Stratified Transformer for Efficient Video RecognitionCode1
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video RecognitionCode1
Efficient Movie Scene Detection using State-Space TransformersCode1
Attacking Video Recognition Models with Bullet-Screen CommentsCode1
Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer LearningCode1
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