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 721–730 of 1149 papers

TitleStatusHype
Fewer Tokens and Fewer Videos: Extending Video Understanding Abilities in Large Vision-Language Models—0
MeMSVD: Long-Range Temporal Structure Capturing Using Incremental SVD—0
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation—0
Semantic Segmentation on VSPW Dataset through Masked Video Consistency—0
3rd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation—0
Contrastive Language Video Time Pre-training—0
2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation—0
HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model—0
Temporal Grounding of Activities using Multimodal Large Language Models—0
MMCTAgent: Multi-modal Critical Thinking Agent Framework for Complex Visual Reasoning—0
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