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Segmenting and recognizing diverse object parts is a crucial ability in applications spanning various computer vision and robotic tasks.
The pascal visual object classes challenge 2010, voc 2010 (2010)
M Everingham, L Van Gool, C Williams, J Winn, and A Zisserman · 2010
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Detect what you can: Detecting and representing objects using holistic models and body parts
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Parsing semantic parts of cars using graphical models and segment appearance consistency
Wenhao Lu, Xiaochen Lian, and Alan Yuille · 2014
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Semantic part segmentation using compositional model combining shape and appearance
Jianyu Wang and Alan L Yuille · 2015
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Attention to scale: Scale-aware semantic image segmentation
Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, and Alan L Yuille · 2016
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Scene parsing through ade20k dataset
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Coco-stuff: Thing and stuff classes in context
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Feature-wise transformations
Vincent Dumoulin, Ethan Perez, Nathan Schucher, Florian Strub, Harm de Vries, Aaron Courville, and Yoshua Bengio · 2018
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Semantic understanding of scenes through the ade20k dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Tete Xiao, Sanja Fidler, Adela Barriuso, and Antonio Torralba · 2019
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Gmnet: Graph matching network for large scale part semantic segmentation in the wild
Umberto Michieli, Edoardo Borsato, Luca Rossi, and Pietro Zanuttigh · 2020
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Phrasecut: Language-based image segmentation in the wild
Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, and Subhransu Maji · 2020
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Per-pixel classification is not all you need for semantic segmentation
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Part-aware panoptic segmentation
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Peng Gao, Shijie Geng, Renrui Zhang, Teli Ma, Rongyao Fang, Yongfeng Zhang, Hongsheng Li, and Yu Qiao · 2021
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Open-vocabulary image segmentation
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Learning transferable visual models from natural language supervision
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Image segmentation using text and image prompts
Timo Lüddecke and Alexander Ecker · 2022
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Edge-aware graph matching network for part-based semantic segmentation
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Cliport: What and where pathways for robotic manipulation
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Cat-seg: Cost aggregation for open-vocabulary semantic segmentation
Seokju Cho, Heeseong Shin, Sunghwan Hong, Seungjun An, Seungjun Lee, Anurag Arnab, Paul Hongsuck Seo, and Seungryong Kim · 2023
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Imagic: Text-based real image editing with diffusion models
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Visual recognition by request
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