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 141150 of 1149 papers

TitleStatusHype
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormerCode2
ActionFormer: Localizing Moments of Actions with TransformersCode2
PyTorchVideo: A Deep Learning Library for Video UnderstandingCode2
Attention Mechanisms in Computer Vision: A SurveyCode2
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge DeviceCode2
Video Swin TransformerCode2
Is Space-Time Attention All You Need for Video Understanding?Code2
Video Instance SegmentationCode2
UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New BenchmarksCode1
MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video UnderstandingCode1
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