Research

Papers for “semantic segmentation”

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

Title	Authors	Year	Source
On the dice loss gradient and the ways to mimic it	Hoel Kervadec, Marleen de Bruijne	2023	arxiv 2304.04319
CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components	Davide Di Nucci, Alessandro Simoni, Matteo Tomei	2023	arxiv 2307.12718
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey	Anusha Aswath, Ahmad Alsahaf, Ben N. G. Giepmans	2022	arxiv 2206.07171
F2BEV: Bird's Eye View Generation from Surround-View Fisheye Camera Images for Automated Driving	Ekta U. Samani, Feng Tao, Harshavardhan R. Dasari	2023	arxiv 2303.03651
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation	Aditya Kasliwal, Sankarshanaa Sagaram, Laven Srivastava	2023	arxiv 2308.13883
Ensemble Methods for Multi-Organ Segmentation in CT Series	Leonardo Crespi, Paolo Roncaglioni, Damiano Dei	2023	arxiv 2303.17956
Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data	Dylan Peek, Matt P. Skerritt, Stephan Chalup	2023	arxiv 2309.16968
APNet: Urban-level Scene Segmentation of Aerial Images and Point Clouds	Weijie Wei, Martin R. Oswald, Fatemeh Karimi Nejadasl	2023	arxiv 2309.17162
Gramian Attention Heads are Strong yet Efficient Vision Learners	Jongbin Ryu, Dongyoon Han, Jongwoo Lim	2023	arxiv 2310.16483
NormNet: Scale Normalization for 6D Pose Estimation in Stacked Scenarios	En-Te Lin, Wei-Jie Lv, Ding-Tao Huang	2023	arxiv 2311.09269
Where to look first? Behaviour control for fetch-and-carry missions of service robots	Markus Bajones, Daniel Wolf, Johann Prankl	2015	arxiv 1510.01554
Pushing the Boundaries of Boundary Detection using Deep Learning	Iasonas Kokkinos	2015	arxiv 1511.07386
Re-ranking Object Proposals for Object Detection in Automatic Driving	Zhun Zhong, Mingyi Lei, Shaozi Li	2016	arxiv 1605.05904
Adapting Deep Network Features to Capture Psychological Representations	Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths	2016	arxiv 1608.02164
Learning Dynamic Hierarchical Models for Anytime Scene Labeling	Buyu Liu, Xuming He	2016	arxiv 1608.03474
Higher Order Conditional Random Fields in Deep Neural Networks	Anurag Arnab, Sadeep Jayasumana, Shuai Zheng	2015	arxiv 1511.08119
Can fully convolutional networks perform well for general image restoration problems?	Subhajit Chaudhury, Hiya Roy	2016	arxiv 1611.04481
Semantic Video CNNs through Representation Warping	Raghudeep Gadde, Varun Jampani, Peter V. Gehler	2017	arxiv 1708.03088
RoomNet: End-to-End Room Layout Estimation	Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz	2017	arxiv 1703.06241
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	Alex Kendall, Yarin Gal	2017	arxiv 1703.04977

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