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 531–540 of 1149 papers

TitleStatusHype
Generative Frame Sampler for Long Video Understanding—0
Measure Twice, Cut Once: Grasping Video Structures and Event Semantics with LLMs for Video Temporal Localization—0
FaVChat: Unlocking Fine-Grained Facail Video Understanding with Multimodal Large Language Models—0
VideoScan: Enabling Efficient Streaming Video Understanding via Frame-level Semantic Carriers—0
Exo2Ego: Exocentric Knowledge Guided MLLM for Egocentric Video Understanding—0
Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment—0
Memory-enhanced Retrieval Augmentation for Long Video Understanding—0
Reasoning is All You Need for Video Generalization: A Counterfactual Benchmark with Sub-question Evaluation—0
BEARCUBS: A benchmark for computer-using web agents—0
ALLVB: All-in-One Long Video Understanding Benchmark—0
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