SOTA2 Research · papers

Papers for “semantic segmentation”

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

Search results

20 indexed

Title	Authors	Year	Source
Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation	Zhi Liu, Shaoyu Chen, Xiaojie Guo	2022	arxiv 2207.01878
VL-BEiT: Generative Vision-Language Pretraining	Hangbo Bao, Wenhui Wang, Li Dong	2022	arxiv 2206.01127
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain Adaptation	Daehan Kim, Minseok Seo, YoungJin Jeon	2022	arxiv 2211.14596
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget	Sourajit Saha, Shaswati Saha, Md Osman Gani	2023	arxiv 2302.06134
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition	Shuhuai Ren, Aston Zhang, Yi Zhu	2023	arxiv 2304.04704
Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks	Alex J. Champandard	2016	arxiv 1603.01768
Fast LIDAR-based Road Detection Using Fully Convolutional Neural Networks	Luca Caltagirone, Samuel Scheidegger, Lennart Svensson	2017	arxiv 1703.03613
Deformable Convolutional Networks	Jifeng Dai, Haozhi Qi, Yuwen Xiong	2017	arxiv 1703.06211
Conditional and Residual Methods in Scalable Coding for Humans and Machines	Anderson de Andrade, Alon Harell, Yalda Foroutan	2023	arxiv 2305.02562
Automatic Real-time Background Cut for Portrait Videos	Xiaoyong Shen, Ruixing Wang, Hengshuang Zhao	2017	arxiv 1704.08812