SOTA2 Research · papers

Papers for “semantic segmentation”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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20 indexed

Title	Authors	Year	Source
SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting	Yuhang Song, Chao Yang, Yeji Shen	2018	arxiv 1805.03356
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation	Liang-Chieh Chen, Yukun Zhu, George Papandreou	2018	arxiv 1802.02611
TreeSegNet: Adaptive Tree CNNs for Subdecimeter Aerial Image Segmentation	Kai Yue, Lei Yang, Ruirui Li	2018	arxiv 1804.10879
Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation	Chengyang Li, Dan Song, Ruofeng Tong	2018	arxiv 1808.04818
Artistic Instance-Aware Image Filtering by Convolutional Neural Networks	Milad Tehrani, Mahnoosh Bagheri, Mahdi Ahmadi	2018	arxiv 1809.08448
Primitive Fitting Using Deep Boundary Aware Geometric Segmentation	Duanshun Li, Chen Feng	2018	arxiv 1810.01604
Deformably-Scaled Transposed Convolution	Stefano B. Blumberg, Daniele Raví, Mou-Cheng Xu	2022	arxiv 2210.09446
Comparative Analysis of Hand-Crafted and Machine-Driven Histopathological Features for Prostate Cancer Classification and Segmentation	Feda Bolus Al Baqain, Omar Sultan Al-Kadi	2025	arxiv 2501.12415
A tissue and cell-level annotated H&E and PD-L1 histopathology image dataset in non-small cell lung cancer	Joey Spronck, Leander van Eekelen, Dominique van Midden	2025	arxiv 2507.16855
Hephaestus: A large scale multitask dataset towards InSAR understanding	Nikolaos Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail