SOTAVerified

Video Understanding

A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.

Source: Action Detection from a Robot-Car Perspective

Papers

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Showing 641–650 of 1149 papers

TitleStatusHype
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model—0
Telling Stories for Common Sense Zero-Shot Action RecognitionCode0
A Content-Driven Micro-Video Recommendation Dataset at ScaleCode2
BT-Adapter: Video Conversation is Feasible Without Video Instruction TuningCode1
End-to-End Streaming Video Temporal Action Segmentation with Reinforce LearningCode1
M^33D: Learning 3D priors using Multi-Modal Masked Autoencoders for 2D image and video understanding—0
Towards Surveillance Video-and-Language Understanding: New Dataset, Baselines, and Challenges—0
Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding—0
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer—0
Language as the Medium: Multimodal Video Classification through text only—0
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