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 551–560 of 1149 papers

TitleStatusHype
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer—0
Learning Audio-guided Video Representation with Gated Attention for Video-Text Retrieval—0
Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering—0
Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding—0
Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection—0
Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition—0
Dynamic Appearance: A Video Representation for Action Recognition with Joint Training—0
Beyond the Camera: Neural Networks in World Coordinates—0
LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision—0
Large-Scale YouTube-8M Video Understanding with Deep Neural Networks—0
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