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 571–580 of 1149 papers

TitleStatusHype
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset—0
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark—0
Auto-captions on GIF: A Large-scale Video-sentence Dataset for Vision-language Pre-training—0
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search—0
AVD2: Accident Video Diffusion for Accident Video Description—0
Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding—0
AV-Reasoner: Improving and Benchmarking Clue-Grounded Audio-Visual Counting for MLLMs—0
AVT: Audio-Video Transformer for Multimodal Action Recognition—0
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation—0
BEARCUBS: A benchmark for computer-using web agents—0
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