Research

Papers for “semantic segmentation”

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

Title	Authors	Year	Source
ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos	Negin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch	2021	arxiv 2109.12448
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation	Francesco Barbato, Marco Toldo, Umberto Michieli	2021	arxiv 2104.02633
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds	Francis Engelmann, Theodora Kontogianni, Alexander Hermans	2018	arxiv 1802.01500
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation	Yingda Xia, Yi Zhang, Fengze Liu	2020	arxiv 2003.08440
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving	Laura von Rueden, Tim Wirtz, Fabian Hueger	2021	arxiv 2104.07538
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation	Ange Lou, Murray Loew	2021	arxiv 2103.12212
Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation	Jingyi Pan, Sihang Li, Yucheng Chen	2023	arxiv 2310.04747
JetSeg: Efficient Real-Time Semantic Segmentation Model for Low-Power GPU-Embedded Systems	Miguel Lopez-Montiel, Daniel Alejandro Lopez, Oscar Montiel	2023	arxiv 2305.11419
Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data	Zhiyuan Wu, Yu Jiang, Chupeng Cui	2021	arxiv 2103.13733
Deep Deterministic Uncertainty for Semantic Segmentation	Jishnu Mukhoti, Joost van Amersfoort, Philip H.S. Torr	2021	arxiv 2111.00079
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network	Dongqiangzi Ye, Weijia Chen, Zixiang Zhou	2022	arxiv 2206.11428
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images	Lei Sun, Kailun Yang, Xinxin Hu	2020	arxiv 2002.10570
An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions	Sercan Türkmen, Janne Heikkilä	2019	arxiv 1902.07476
Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment	Tashnim Chowdhury, Maryam Rahnemoonfar	2021	arxiv 2105.14540
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways	Weikai Tan, Nannan Qin, Lingfei Ma	2020	arxiv 2003.08284
Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline	Jasmin Breitenstein, Tim Fingscheidt	2022	arxiv 2206.00527
An Access Control Method with Secret Key for Semantic Segmentation Models	Teru Nagamori, Ryota Iijima, Hitoshi Kiya	2022	arxiv 2208.13135
On the calibration of underrepresented classes in LiDAR-based semantic segmentation	Mariella Dreissig, Florian Piewak, Joschka Boedecker	2022	arxiv 2210.06811
Memory-based Semantic Segmentation for Off-road Unstructured Natural Environments	Youngsaeng Jin, David K. Han, Hanseok Ko	2021	arxiv 2108.05635
Transferring CLIP's Knowledge into Zero-Shot Point Cloud Semantic Segmentation	Yuanbin Wang, Shaofei Huang, Yulu Gao	2023	arxiv 2312.07221

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