List your company

Research

Papers for “semantic segmentation”

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

Search results

TitleAuthorsYearSource
Recalling Holistic Information for Semantic SegmentationHexiang Hu, Zhiwei Deng, Guang-tong Zhou2016arxiv 1611.08061
Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAMSuman Raj Bista, David Hall, Ben Talbot2021arxiv 2109.07748
MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban EnvironmentBarak Pinkovich, Boaz Matalon, Ehud Rivlin2025arxiv 2505.08589
False Negative Reduction in Semantic Segmentation under Domain Shift using Depth EstimationKira Maag, Matthias Rottmann2022arxiv 2207.03513
Exploiting Depth from Single Monocular Images for Object Detection and Semantic SegmentationYuanzhouhan Cao, Chunhua Shen, Heng Tao Shen2016arxiv 1610.01706
Generalized Category Discovery in Semantic SegmentationZhengyuan Peng, Qijian Tian, Jianqing Xu2023arxiv 2311.11525
Semantic Segmentation with Boundary Neural FieldsGedas Bertasius, Jianbo Shi, Lorenzo Torresani2015arxiv 1511.02674
Remote Sensing Semantic Segmentation Quality Assessment based on Vision Language ModelHuiying Shi, Zhihong Tan, Zhihan Zhang2025arxiv 2502.13990
Understanding Convolution for Semantic SegmentationPanqu Wang, Pengfei Chen, Ye Yuan2017arxiv 1702.08502
Dilated SpineNet for Semantic SegmentationAbdullah Rashwan, Xianzhi Du, Xiaoqi Yin2021arxiv 2103.12270
Normalization in Training U-Net for 2D Biomedical Semantic SegmentationXiao-Yun Zhou, Guang-Zhong Yang2018arxiv 1809.03783
Enhanced Generative Data Augmentation for Semantic Segmentation via Stronger GuidanceQuang-Huy Che, Duc-Tri Le, Bich-Nga Pham2024arxiv 2409.06002
Self-Prediction for Joint Instance and Semantic Segmentation of Point CloudsJinxian Liu, Minghui Yu, Bingbing Ni2020arxiv 2007.13344
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point CloudNeng Wang, Ruibin Guo, Chenghao Shi2024arxiv 2406.16279
Learning Debiased and Disentangled Representations for Semantic SegmentationSanghyeok Chu, Dongwan Kim, Bohyung Han2021arxiv 2111.00531
Structured Consistency Loss for semi-supervised semantic segmentationJongmok Kim, Jooyoung Jang, Hyunwoo Park2020arxiv 2001.04647
S4-Net: Geometry-Consistent Semi-Supervised Semantic SegmentationSinisa Stekovic, Friedrich Fraundorfer, Vincent Lepetit2018arxiv 1812.10717
DSSLIC: Deep Semantic Segmentation-based Layered Image CompressionMohammad Akbari, Jie Liang, Jingning Han2018arxiv 1806.03348
Asymmetric Non-local Neural Networks for Semantic SegmentationZhen Zhu, Mengde Xu, Song Bai2019arxiv 1908.07678
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic SegmentationDi Lin, Jifeng Dai, Jiaya Jia2016arxiv 1604.05144