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 1051–1060 of 1149 papers

TitleStatusHype
Recurring the Transformer for Video Action Recognition—0
Relational Space-Time Query in Long-Form Videos—0
Residual Frames with Efficient Pseudo-3D CNN for Human Action Recognition—0
ResNetVLLM -- Multi-modal Vision LLM for the Video Understanding Task—0
Rethinking Image-to-Video Adaptation: An Object-centric Perspective—0
Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data—0
Retrieval-based Video Language Model for Efficient Long Video Question Answering—0
RETTA: Retrieval-Enhanced Test-Time Adaptation for Zero-Shot Video Captioning—0
Revealing Occlusions with 4D Neural Fields—0
Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding—0
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