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
Segmentation Network with Compound Loss Function for Hydatidiform Mole Hydrops Lesion Recognition	Chengze Zhu, Pingge Hu, Xianxu Zeng	2022	arxiv 2204.04956
Transframer: Arbitrary Frame Prediction with Generative Models	Charlie Nash, João Carreira, Jacob Walker	2022	arxiv 2203.09494
CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization	Yang He, Hui-Po Wang, Maximilian Zenk	2020	arxiv 2012.08241
PVT: Point-Voxel Transformer for Point Cloud Learning	Cheng Zhang, Haocheng Wan, Xinyi Shen	2021	arxiv 2108.06076
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing	Alireza Azadbakht, Saeed Reza Kheradpisheh, Ismail Khalfaoui-Hassani	2022	arxiv 2210.14151
A-Eye: Driving with the Eyes of AI for Corner Case Generation	Kamil Kowol, Stefan Bracke, Hanno Gottschalk	2022	arxiv 2202.10803
Impact of PolSAR pre-processing and balancing methods on complex-valued neural networks segmentation tasks	José Agustin Barrachina, Chengfang Ren, Christèle Morisseau	2022	arxiv 2210.17419
Synthetic Data for Semantic Image Segmentation of Imagery of Unmanned Spacecraft	William S. Armstrong, Spencer Drakontaidis, Nicholas Lui	2022	arxiv 2211.11941
ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentation	Cenk Bircanoglu, Nafiz Arica	2022	arxiv 2211.12455
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization