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In this technical report, we present two novel datasets for image scene understanding.
The PASCAL Visual Object Classes Challenge 2010 (VOC2010) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010
Earlier work this paper cites.
Detect what you can: Detecting and representing objects using holistic models and body parts
Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, and Alan Yuille · 2014
Earlier work this paper cites.
The role of context for object detection and semantic segmentation in the wild
Roozbeh Mottaghi, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Sanja Fidler, Raquel Urtasun, and Alan Yuille · 2014
Earlier work this paper cites.
The Cityscapes Dataset for Semantic Urban Scene Understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
Cited alongside, same era.
Holistic, instance-level human parsing
Qizhu Li, Anurag Arnab, and Philip HS Torr · 2017
Cited alongside, same era.
Instance-level human parsing via part grouping network
Ke Gong, Xiaodan Liang, Yicheng Li, Yimin Chen, Ming Yang, and Liang Lin · 2018
Cited alongside, same era.
Look into person: Joint body parsing & pose estimation network and a new benchmark
Xiaodan Liang, Ke Gong, Xiaohui Shen, and Liang Lin · 2018
Later among the works it cites.
Understanding humans in crowded scenes: Deep nested adversarial learning and a new benchmark for multi-human parsing
Jian Zhao, Jianshu Li, Yu Cheng, Terence Sim, Shuicheng Yan, and Jiashi Feng · 2018
Later among the works it cites.
Panoptic Segmentation
Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, and Piotr Dollár · 2019
Later among the works it cites.
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