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 321–330 of 1149 papers

TitleStatusHype
Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model—0
VisionZip: Longer is Better but Not Necessary in Vision Language ModelsCode3
Streaming Detection of Queried Event StartCode0
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and PruningCode2
VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding—0
Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction TuningCode1
Progress-Aware Video Frame Captioning—0
VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video UnderstandingCode1
PhysGame: Uncovering Physical Commonsense Violations in Gameplay VideosCode1
SEAL: Semantic Attention Learning for Long Video Representation—0
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