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 331–340 of 1149 papers

TitleStatusHype
Towards Universal Soccer Video UnderstandingCode3
VideoSAVi: Self-Aligned Video Language Models without Human Supervision—0
VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation—0
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training—0
LongVALE: Vision-Audio-Language-Event Benchmark Towards Time-Aware Omni-Modal Perception of Long VideosCode2
Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark—0
T2Vid: Translating Long Text into Multi-Image is the Catalyst for Video-LLMsCode1
Look Every Frame All at Once: Video-Ma^2mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing—0
TimeMarker: A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization AbilityCode2
SAVEn-Vid: Synergistic Audio-Visual Integration for Enhanced Understanding in Long Video Context—0
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