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 591–600 of 1149 papers

TitleStatusHype
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding—0
CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval—0
Detection-Fusion for Knowledge Graph Extraction from VideosCode0
MVTamperBench: Evaluating Robustness of Vision-Language Models—0
Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries—0
HumanVBench: Exploring Human-Centric Video Understanding Capabilities of MLLMs with Synthetic Benchmark Data—0
Video Domain Incremental Learning for Human Action Recognition in Home Environments—0
FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story VideosCode0
ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries—0
FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering—0
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