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 601–610 of 1149 papers

TitleStatusHype
Can Temporal Information Help with Contrastive Self-Supervised Learning?—0
Can't Fool Me: Adversarially Robust Transformer for Video Understanding—0
CATER: A diagnostic dataset for Compositional Actions & TEmporal Reasoning—0
Causal Reasoning Meets Visual Representation Learning: A Prospective Study—0
CAVALRY-V: A Large-Scale Generator Framework for Adversarial Attacks on Video MLLMs—0
CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding—0
Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis—0
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos—0
ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System—0
Chat with AI: The Surprising Turn of Real-time Video Communication from Human to AI—0
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