Research

Papers for “semantic segmentation”

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

Title	Authors	Year	Source
Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets	Riccardo Volpi, Vittorio Murino	2019	arxiv 1903.11900
Exploring Deep Spiking Neural Networks for Automated Driving Applications	Sambit Mohapatra, Heinrich Gotzig, Senthil Yogamani	2019	arxiv 1903.02080
Making Vision Transformers Truly Shift-Equivariant	Renan A. Rojas-Gomez, Teck-Yian Lim, Minh N. Do	2023	arxiv 2305.16316
PeP: a Point enhanced Painting method for unified point cloud tasks	Zichao Dong, Hang Ji, Xufeng Huang	2023	arxiv 2310.07591
A Survey on Mamba Architecture for Vision Applications	Fady Ibrahim, Guangjun Liu, Guanghui Wang	2025	arxiv 2502.07161
Self-Supervised Temporal Analysis of Spatiotemporal Data	Yi Cao, Swetava Ganguli, Vipul Pandey	2023	arxiv 2304.13143
CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation	Ming Kang, Chee-Ming Ting, Fung Fung Ting	2024	arxiv 2401.16886
SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM	Mingrui Li, Shuhong Liu, Heng Zhou	2024	arxiv 2402.03246
Attention Models for Point Clouds in Deep Learning: A Survey	Xu Wang, Yi Jin, Yigang Cen	2021	arxiv 2102.10788
Instance segmentation with the number of clusters incorporated in embedding learning	Jianfeng Cao, Hong Yan	2021	arxiv 2103.14869
Carpet-bombing patch: attacking a deep network without usual requirements	Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin	2022	arxiv 2212.05827
LaMPP: Language Models as Probabilistic Priors for Perception and Action	Belinda Z. Li, William Chen, Pratyusha Sharma	2023	arxiv 2302.02801
Improving Translation Invariance in Convolutional Neural Networks with Peripheral Prediction Padding	Kensuke Mukai, Takao Yamanaka	2023	arxiv 2307.07725
Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding	Roozbeh Mottaghi, Sanja Fidler, Alan Yuille	2014	arxiv 1406.3906
Houdini: Fooling Deep Structured Prediction Models	Moustapha Cisse, Yossi Adi, Natalia Neverova	2017	arxiv 1707.05373
Matterport3D: Learning from RGB-D Data in Indoor Environments	Angel Chang, Angela Dai, Thomas Funkhouser	2017	arxiv 1709.06158
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation	Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante	2017	arxiv 1711.01468
ConvNet Architecture Search for Spatiotemporal Feature Learning	Du Tran, Jamie Ray, Zheng Shou	2017	arxiv 1708.05038
ChainerCV: a Library for Deep Learning in Computer Vision	Yusuke Niitani, Toru Ogawa, Shunta Saito	2017	arxiv 1708.08169
Object cosegmentation using deep Siamese network	Prerana Mukherjee, Brejesh Lall, Snehith Lattupally	2018	arxiv 1803.02555

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