Research

Papers for “semantic segmentation”

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

Title	Authors	Year	Source
Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation	Rohan Chacko, Nicolai Haeni, Eldar Khaliullin	2025	arxiv 2502.00173
LeAP: Consistent multi-domain 3D labeling using Foundation Models	Simon Gebraad, Andras Palffy, Holger Caesar	2025	arxiv 2502.03901
Shape Bias and Robustness Evaluation via Cue Decomposition for Image Classification and Segmentation	Edgar Heinert, Thomas Gottwald, Annika Mütze	2025	arxiv 2503.12453
DACS: Domain Adaptation via Cross-domain Mixed Sampling	Wilhelm Tranheden, Viktor Olsson, Juliano Pinto	2020	arxiv 2007.08702
Probabilistic Deep Learning for Instance Segmentation	Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller	2020	arxiv 2008.10678
Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation	Zixiang Zhou, Yang Zhang, Hassan Foroosh	2021	arxiv 2103.14962
Extract Free Dense Labels from CLIP	Chong Zhou, Chen Change Loy, Bo Dai	2021	arxiv 2112.01071
Data Efficient 3D Learner via Knowledge Transferred from 2D Model	Ping-Chung Yu, Cheng Sun, Min Sun	2022	arxiv 2203.08479
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling	Hao Lu, Wenze Liu, Zixuan Ye	2022	arxiv 2209.12866
Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers	Han Joo Chae, Seunghwan Lee, Hyewon Son	2022	arxiv 2203.03814
Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation	Xinrong Hu, Yu-Jen Chen, Tsung-Yi Ho	2023	arxiv 2306.03878
FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation	Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad	2023	arxiv 2311.13069
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars	Quang Huy Che, Dinh Phuc Nguyen, Minh Quan Pham	2023	arxiv 2307.10705
Dense CNN Learning with Equivalent Mappings	Jianxin Wu, Chen-Wei Xie, Jian-Hao Luo	2016	arxiv 1605.07251
PixelNet: Towards a General Pixel-level Architecture	Aayush Bansal, Xinlei Chen, Bryan Russell	2016	arxiv 1609.06694
DeepUNet: A Deep Fully Convolutional Network for Pixel-level Sea-Land Segmentation	Ruirui Li, Wenjie Liu, Lei Yang	2017	arxiv 1709.00201
Leveraging Perceptual Scores for Dataset Pruning in Computer Vision Tasks	Raghavendra Singh	2024	arxiv 2408.07243
Learning Where to Look: Data-Driven Viewpoint Set Selection for 3D Scenes	Kyle Genova, Manolis Savva, Angel X. Chang	2017	arxiv 1704.02393
CNN-based Segmentation of Medical Imaging Data	Baris Kayalibay, Grady Jensen, Patrick van der Smagt	2017	arxiv 1701.03056
A Multicentric Dataset for Training and Benchmarking Breast Cancer Segmentation in H&E Slides	Carlijn Lems, Leslie Tessier, John-Melle Bokhorst	2025	arxiv 2510.02037

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