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 261–270 of 1149 papers

TitleStatusHype
From My View to Yours: Ego-Augmented Learning in Large Vision Language Models for Understanding Exocentric Daily Living ActivitiesCode1
Zero-shot Shark Tracking and Biometrics from Aerial Imagery—0
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?Code2
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding—0
LongViTU: Instruction Tuning for Long-Form Video Understanding—0
Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs—0
H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving—0
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models—0
HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video UnderstandingCode0
Unifying Specialized Visual Encoders for Video Language ModelsCode1
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