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 421–430 of 1149 papers

TitleStatusHype
CogVLM2: Visual Language Models for Image and Video UnderstandingCode9
Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input—0
Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long VideosCode2
LMM-VQA: Advancing Video Quality Assessment with Large Multimodal ModelsCode0
Attend-Fusion: Efficient Audio-Visual Fusion for Video Classification—0
LongVILA: Scaling Long-Context Visual Language Models for Long Videos—0
Flatten: Video Action Recognition is an Image Classification task—0
Disentangle and denoise: Tackling context misalignment for video moment retrieval—0
HAT: History-Augmented Anchor Transformer for Online Temporal Action LocalizationCode1
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos—0
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