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 431–440 of 1149 papers

TitleStatusHype
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning—0
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation—0
Learning Audio-guided Video Representation with Gated Attention for Video-Text Retrieval—0
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer—0
DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation—0
BERT for Large-scale Video Segment Classification with Test-time Augmentation—0
AMEGO: Active Memory from long EGOcentric videos—0
Domain Adaptation of VLM for Soccer Video Understanding—0
Actor-Action Semantic Segmentation with Grouping Process Models—0
BEARCUBS: A benchmark for computer-using web agents—0
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