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Scene understanding via scene graph

Visual scene understanding is a fundamental challenge in computer vision, aiming to enable intelligent systems to decipher the world through visual data. This field encompasses a wide range of tasks, including image classification, object detection, and semantic as well as instance segmentation. Advances in deep learning have significantly improved our
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Scene understanding

2009
Dimitri Plemenos, Georgios Miaoulis
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MTANet: Multitask-Aware Network With Hierarchical Multimodal Fusion for RGB-T Urban Scene Understanding

IEEE Transactions on Intelligent Vehicles, 2023
Wujie Zhou, Jingsheng Lei, Shaohua Dong
exaly  

Mastering Scene Understanding: Scene Graphs to the Rescue

2024 37th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
Carlos Caetano   +11 more
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MLRSNet: A Multi-Label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding

ISPRS Journal of Photogrammetry and Remote Sensing, 2020
Panagiotis Takis Mathiopoulos   +2 more
exaly  

Street View Text Recognition With Deep Learning for Urban Scene Understanding in Intelligent Transportation Systems

IEEE Transactions on Intelligent Transportation Systems, 2021
Weiping Ding, Wei Wang, Chongsheng Zhang
exaly  

Semantic Understanding of Scenes Through the ADE20K Dataset

International Journal of Computer Vision, 2019
Antonio Torralba   +2 more
exaly  

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