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 301–310 of 1149 papers

TitleStatusHype
ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries—0
FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering—0
CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding—0
Overview of TREC 2024 Medical Video Question Answering (MedVidQA) Track—0
Uni-AdaFocus: Spatial-temporal Dynamic Computation for Video RecognitionCode2
IQViC: In-context, Question Adaptive Vision Compressor for Long-term Video Understanding LMMs—0
Apollo: An Exploration of Video Understanding in Large Multimodal Models—0
B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal TokensCode0
VCA: Video Curious Agent for Long Video Understanding—0
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation—0
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