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

Showing 11111120 of 1149 papers

TitleStatusHype
DramaQA: Character-Centered Video Story Understanding with Hierarchical QACode0
Are you Struggling? Dataset and Baselines for Struggle Determination in Assembly VideosCode0
NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy LabelsCode0
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video ClassificationCode0
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video UnderstandingCode0
Dr^2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient FinetuningCode0
Multimodal Dialogue State TrackingCode0
Don't Judge by the Look: Towards Motion Coherent Video RepresentationCode0
(Un)likelihood Training for Interpretable EmbeddingCode0
Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from ImagesCode0
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