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 811–820 of 1149 papers

TitleStatusHype
M^33D: Learning 3D priors using Multi-Modal Masked Autoencoders for 2D image and video understanding—0
Towards Surveillance Video-and-Language Understanding: New Dataset, Baselines, and Challenges—0
Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding—0
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer—0
Language as the Medium: Multimodal Video Classification through text only—0
Judging a video by its bitstream coverCode0
Motion-Guided Masking for Spatiotemporal Representation Learning—0
MOFO: MOtion FOcused Self-Supervision for Video UnderstandingCode0
Are current long-term video understanding datasets long-term?Code0
Audio-Visual Glance Network for Efficient Video Recognition—0
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