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Video Recognition
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Video Recognition is a process of obtaining, processing, and analysing data that it receives from a visual source, specifically video.
논문
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VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models
Gameplay Highlights Generation
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
CA^2ST: Cross-Attention in Audio, Space, and Time for Holistic Video Recognition
Leveraging LLMs with Iterative Loop Structure for Enhanced Social Intelligence in Video Question Answering
BASKET: A Large-Scale Video Dataset for Fine-Grained Skill Estimation
PAVE: Patching and Adapting Video Large Language Models
VTD-CLIP: Video-to-Text Discretization via Prompting CLIP
Towards Scalable Modeling of Compressed Videos for Efficient Action Recognition
A Simple and Efficient Baseline for Video Action Recognition
VideoPure: Diffusion-based Adversarial Purification for Video Recognition
DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments
Uni-AdaFocus: Spatial-temporal Dynamic Computation for Video Recognition
Standardization Trends on Safety and Trustworthiness Technology for Advanced AI
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations
A Novel Audio-Visual Information Fusion System for Mental Disorders Detection
GenRec: Unifying Video Generation and Recognition with Diffusion Models
OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning
VideoMamba: Spatio-Temporal Selective State Space Model
Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case
PosMLP-Video: Spatial and Temporal Relative Position Encoding for Efficient Video Recognition
MeMSVD: Long-Range Temporal Structure Capturing Using Incremental SVD
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark
Hierarchical Action Recognition: A Contrastive Video-Language Approach with Hierarchical Interactions
No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding
Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic Scenarios
Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition
VG4D: Vision-Language Model Goes 4D Video Recognition
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
Don't Judge by the Look: Towards Motion Coherent Video Representation
Percept, Chat, and then Adapt: Multimodal Knowledge Transfer of Foundation Models for Open-World Video Recognition
Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition
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