Semantic Segmentation Network

Semantic segmentation networks aim to assign a semantic label to each pixel in an image, enabling precise scene understanding. Current research focuses on improving accuracy and efficiency, particularly for challenging scenarios like anomaly detection, large-scale 3D point clouds, and domain generalization, often employing Vision Transformers, U-Net architectures, and contrastive learning methods. These advancements are crucial for applications ranging from autonomous driving and medical image analysis to remote sensing and industrial automation, where accurate pixel-level classification is essential.

Papers

July 11, 2022

Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
Andrii Zadaianchuk, Matthaeus Kleindessner, Yi Zhu, Francesco Locatello, Thomas Brox
Semantic Segmentation Object Discovery Semantic Segmentation Network Unsupervised Semantic Segmentation Supervised Semantic Segmentation

July 9, 2022

SHDM-NET: Heat Map Detail Guidance with Image Matting for Industrial Weld Semantic Segmentation Network
Qi Wang, Jingwu Mei
Semantic Segmentation Semantic Segmentation Network Image Matting Semantic Segmentation Algorithm

July 7, 2022

False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation
Kira Maag, Matthias Rottmann
Semantic Segmentation Depth Estimation Domain Shift Segmentation Network Semantic Segmentation Network False Negative

July 4, 2022

DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos
Negin Ghamsarian, Mario Taschwer, Raphael Sznitman, Klaus Schoeffmann
Semantic Segmentation Receptive Field Semantic Segmentation Network Pyramid Fusion Cataract Surgery Video

June 27, 2022

Multi-scale Network with Attentional Multi-resolution Fusion for Point Cloud Semantic Segmentation
Yuyan Li, Ye Duan
Point Cloud Multi Scale Attention Based Semantic Segmentation Network Point Cloud Semantic Segmentation Point Convolution Multi Resolution Fusion

June 13, 2022

Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
Semantic Segmentation Autonomous Driving Autonomous Vehicle Vision Task Single GPU Semantic Segmentation Network Power Consumption Structured Pruning Method

June 9, 2022

Spatial Entropy as an Inductive Bias for Vision Transformers
Elia Peruzzo, Enver Sangineto, Yahui Liu, Marco De Nadai, Wei Bi, Bruno Lepri, Nicu Sebe
Vision Transformer Inductive Bias Semantic Segmentation Network Self Supervised Auxiliary Task Spatial Entropy

April 14, 2022

PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Images
Rabab Abdelfattah, Xiaofeng Wang, Song Wang
Generative Adversarial Network Semantic Segmentation Adversarial Learning Aerial Image Semantic Segmentation Network Power Line Line Detection

April 11, 2022

April 7, 2022

L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation
Peng-Tao Jiang, Yuqi Yang, Qibin Hou, Yunchao Wei
Attention Map Weakly Supervised Semantic Segmentation Semantic Segmentation Network

April 4, 2022

WildNet: Learning Domain Generalized Semantic Segmentation from the Wild
Suhyeon Lee, Hongje Seong, Seongwon Lee, Euntai Kim
Wild Challenge Target Domain Semantic Segmentation Network Domain Agnostic Domain Generalized

April 3, 2022

Adversarially robust segmentation models learn perceptually-aligned gradients
Pedro Sandoval-Segura
Semantic Segmentation Network Gradient Alignment Robust Segmentation

April 2, 2022

Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation
Binod Bhattarai, Ronast Subedi, Rebati Raman Gaire, Eduard Vazquez, Danail Stoyanov
Semantic Segmentation Medical Image Segmentation Multi Task Learning Multi Task Semantic Segmentation Network Histogram Layer Semantic Segmentation Mask Medical Semantic Segmentation

April 1, 2022

DBCal: Density Based Calibration of classifier predictions for uncertainty quantification
Alex Hagen, Karl Pazdernik, Nicole LaHaye, Marjolein Oostrom
Machine Learning Uncertainty Quantification Class Imbalance Semantic Segmentation Network Binary Classifier Uncertainty Propagation

March 25, 2022

Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation
Theodoros Pissas, Claudio S. Ravasio, Lyndon Da Cruz, Christos Bergeles
Contrastive Learning Semantic Segmentation Multi Scale Semantic Segmentation Network Scale Contrastive Learning

March 3, 2022

SegTAD: Precise Temporal Action Detection via Semantic Segmentation
Chen Zhao, Merey Ramazanova, Mengmeng Xu, Bernard Ghanem
Semantic Segmentation Fine Grained Temporal Action Detection Semantic Segmentation Network

March 1, 2022

Embodied Active Domain Adaptation for Semantic Segmentation via Informative Path Planning
René Zurbrügg, Hermann Blum, Cesar Cadena, Roland Siegwart, Lukas Schmid
Semantic Segmentation Semantic Segmentation Network Real World Environment Informative Path Planning Autonomous Operation Active Domain Adaptation Embodied Vision

January 16, 2022

Towards holistic scene understanding: Semantic segmentation and beyond
Panagiotis Meletis
Semantic Segmentation Scene Understanding Semantic Segmentation Network Universal Image Segmentation Holistic Scene Understanding

January 15, 2022

Prototype Guided Network for Anomaly Segmentation
Yiqing Hao, Yi Jin, Gaoyun An
Semantic Segmentation Network Anomaly Segmentation Anomaly Aware Semantic Segmentation

Semantic Segmentation Network

Papers

Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations

SHDM-NET: Heat Map Detail Guidance with Image Matting for Industrial Weld Semantic Segmentation Network

False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation

DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos

Multi-scale Network with Attentional Multi-resolution Fusion for Point Cloud Semantic Segmentation

Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU

Spatial Entropy as an Inductive Bias for Vision Transformers

PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Images

Segmentation Network with Compound Loss Function for Hydatidiform Mole Hydrops Lesion Recognition

A Semantic Segmentation Network Based Real-Time Computer-Aided Diagnosis System for Hydatidiform Mole Hydrops Lesion Recognition in Microscopic View

L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation

WildNet: Learning Domain Generalized Semantic Segmentation from the Wild

Adversarially robust segmentation models learn perceptually-aligned gradients

Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation

DBCal: Density Based Calibration of classifier predictions for uncertainty quantification

Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation

SegTAD: Precise Temporal Action Detection via Semantic Segmentation

Embodied Active Domain Adaptation for Semantic Segmentation via Informative Path Planning

Towards holistic scene understanding: Semantic segmentation and beyond

Prototype Guided Network for Anomaly Segmentation