Research

Papers for “semantic segmentation”

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

Title	Authors	Year	Source
Evidential Semantic Mapping in Off-road Environments with Uncertainty-aware Bayesian Kernel Inference	Junyoung Kim, Junwon Seo, Jihong Min	2024	arxiv 2403.14138
Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers	Pingcheng Dong, Yonghao Tan, Dong Zhang	2024	arxiv 2403.19591
Improving 3D Occupancy Prediction through Class-balancing Loss and Multi-scale Representation	Huizhou Chen, Jiangyi Wang, Yuxin Li	2024	arxiv 2405.16099
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation	Md Mostafijur Rahman, Radu Marculescu	2023	arxiv 2303.16892
De-coupling and De-positioning Dense Self-supervised Learning	Congpei Qiu, Tong Zhang, Wei Ke	2023	arxiv 2303.16947
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation	Weide Liu, Zhonghua Wu, Yang Zhao	2023	arxiv 2303.13724
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding	Hengjia Li, Tu Zheng, Zhihao Chi	2023	arxiv 2303.17815
Improving extreme weather events detection with light-weight neural networks	Romain Lacombe, Hannah Grossman, Lucas Hendren	2023	arxiv 2304.00176
Interactive Segment Anything NeRF with Feature Imitation	Xiaokang Chen, Jiaxiang Tang, Diwen Wan	2023	arxiv 2305.16233
Line Graphics Digitization: A Step Towards Full Automation	Omar Moured, Jiaming Zhang, Alina Roitberg	2023	arxiv 2307.02065
OG: Equip vision occupancy with instance segmentation and visual grounding	Zichao Dong, Hang Ji, Weikun Zhang	2023	arxiv 2307.05873
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features	Adrien Bardes, Jean Ponce, Yann LeCun	2023	arxiv 2307.12698
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation	Zhaoxin Fan, Puquan Pan, Zeren Zhang	2023	arxiv 2307.09604
SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving	Shuai Yuan, Shuzhi Yu, Hannah Kim	2023	arxiv 2303.06209
Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks	Santiago Estrada, Sailesh Conjeti, Muneer Ahmad	2018	arxiv 1807.07803
EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding	Zhiyi Pan, Guoqing Liu, Wei Gao	2024	arxiv 2410.17207
Addressing a fundamental limitation in deep vision models: lack of spatial attention	Ali Borji	2024	arxiv 2407.01782
ContRail: A Framework for Realistic Railway Image Synthesis using ControlNet	Andrei-Robert Alexandrescu, Razvan-Gabriel Petec, Alexandru Manole	2024	arxiv 2412.06742
MambaVision: A Hybrid Mamba-Transformer Vision Backbone	Ali Hatamizadeh, Jan Kautz	2024	arxiv 2407.08083
Efficient Scale-Permuted Backbone with Learned Resource Distribution	Xianzhi Du, Tsung-Yi Lin, Pengchong Jin	2020	arxiv 2010.11426

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