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
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor	Jiachen Xu, Jingyu Gong, Jie Zhou	2020	arxiv 2001.09087
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images	Libo Wang, Rui Li, Chenxi Duan	2021	arxiv 2104.12137
Multi-scale Network with Attentional Multi-resolution Fusion for Point Cloud Semantic Segmentation	Yuyan Li, Ye Duan	2022	arxiv 2206.13628
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation	Xiangrong Zhang, Zelin Peng, Peng Zhu	2021	arxiv 2108.01344
Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving	Anam Manzoor, Aryan Singh, Ganesh Sistu	2024	arxiv 2407.16647
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion	Shi Qiu, Saeed Anwar, Nick Barnes	2021	arxiv 2103.07074
An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation	Lorenz Berger, Eoin Hyde, M. Jorge Cardoso	2017	arxiv 1709.02764
Proximal Splitting Adversarial Attacks for Semantic Segmentation	Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed	2022	arxiv 2206.07179
Learning Dense Convolutional Embeddings for Semantic Segmentation	Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos	2015	arxiv 1511.04377
Soft Dice Confidence: A Near-Optimal Confidence Estimator for Selective Prediction in Semantic Segmentation