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 311–320 of 1149 papers

TitleStatusHype
PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models—0
Neptune: The Long Orbit to Benchmarking Long Video UnderstandingCode2
COEF-VQ: Cost-Efficient Video Quality Understanding through a Cascaded Multimodal LLM Framework—0
3DSRBench: A Comprehensive 3D Spatial Reasoning Benchmark—0
GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-grained Video-language Learning—0
Multi-Scale Contrastive Learning for Video Temporal Grounding—0
Towards Long Video Understanding via Fine-detailed Video Story Generation—0
Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection—0
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling—0
Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model—0
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