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 971–980 of 1149 papers

TitleStatusHype
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning—0
MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding—0
MMCTAgent: Multi-modal Critical Thinking Agent Framework for Complex Visual Reasoning—0
MM-Ego: Towards Building Egocentric Multimodal LLMs—0
Moment Quantization for Video Temporal Grounding—0
MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval—0
Morph: Flexible Acceleration for 3D CNN-based Video Understanding—0
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models—0
Motion-Guided Masking for Spatiotemporal Representation Learning—0
Motion Sensitive Contrastive Learning for Self-supervised Video Representation—0
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