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 611–620 of 1149 papers

TitleStatusHype
CinePile: A Long Video Question Answering Dataset and Benchmark—0
Clapper: Compact Learning and Video Representation in VLMs—0
ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation—0
CLIP4Caption: CLIP for Video Caption—0
Co-attentional Transformers for Story-Based Video Understanding—0
COEF-VQ: Cost-Efficient Video Quality Understanding through a Cascaded Multimodal LLM Framework—0
CogME: A Cognition-Inspired Multi-Dimensional Evaluation Metric for Story Understanding—0
Collaborative Temporal Consistency Learning for Point-supervised Natural Language Video Localization—0
How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs—0
Comprehensive Video Understanding: Video summarization with content-based video recommender design—0
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