Semantic Segmentation Model

Semantic segmentation models aim to assign a semantic label to every pixel in an image, enabling detailed scene understanding. Current research emphasizes improving model robustness against various challenges, including adverse weather conditions, limited labeled data (through techniques like weak supervision and active learning), and adversarial attacks, often leveraging architectures like U-Net and transformers. These advancements are crucial for applications ranging from autonomous driving and robotics to remote sensing and medical image analysis, driving progress in both model efficiency and accuracy.

Papers

October 6, 2023

A Deeply Supervised Semantic Segmentation Method Based on GAN
Wei Zhao, Qiyu Wei, Zeng Zeng
Generative Adversarial Network Semantic Segmentation Semantic Segmentation Model

September 24, 2023

LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and Reasoning
Liulei Li, Wenguan Wang, Yi Yang
Complex Reasoning Semantic Parsing Semantic Segmentation Model Visual Semantics Logical Neural Network Logic Pre Training

September 11, 2023

Learning Semantic Segmentation with Query Points Supervision on Aerial Images
Santiago Rivier, Carlos Hinojosa, Silvio Giancola, Bernard Ghanem
Semantic Segmentation Semantic Segmentation Model Aerial Image Point Supervision Semantic Segmentation Algorithm Satellite Image Segmentation

August 31, 2023

BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation
Johannes Künzel, Anna Hilsmann, Peter Eisert
Semantic Segmentation Domain Adaptation Unsupervised Learning Semantic Segmentation Model Autonomous Driving Technology Semantic Image Segmentation Barlow Twin

August 22, 2023

Food Image Classification and Segmentation with Attention-based Multiple Instance Learning
Valasia Vlachopoulou, Ioannis Sarafis, Alexandros Papadopoulos
Segmentation Based Approach Multiple Instance Learning Semantic Segmentation Model Pixel Level Annotation Food Image Classification Food Segmentation

August 19, 2023

Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation
Dan Zhang, Kaspar Sakmann, William Beluch, Robin Hutmacher, Yumeng Li
Autonomous Driving Distribution Detection Semantic Segmentation Model Anomaly Segmentation Pre Trained Segmentation Model Aligned Out of Distribution Augmentation Anomaly Aware Semantic Segmentation

August 9, 2023

MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation
Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang
Semantic Segmentation Semantic Segmentation Model Cross Modal Feature Zero Shot Semantic Segmentation Visual Semantic Alignment Mask Learning Text Supervised Semantic Segmentation Open World Semantic Segmentation

August 5, 2023

Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge Distillation
Chengjia Jiang, Tao Wang, Sien Li, Jinyang Wang, Shirui Wang, Antonios Antoniou
Knowledge Distillation Pseudo Labeling Semantic Segmentation Model

August 4, 2023

August 3, 2023

Assessing Systematic Weaknesses of DNNs using Counterfactuals
Sujan Sai Gannamaneni, Michael Mock, Maram Akila
Semantic Segmentation Model DNN Framework High Quality Counterfactuals Semantic Feature Physical Weakness

June 25, 2023

On Evaluating the Adversarial Robustness of Semantic Segmentation Models
Levente Halmosi, Mark Jelasity
Adversarial Example Adversarial Robustness Adversarial Perturbation Semantic Segmentation Model Adversarial Training Algorithm

June 22, 2023

Robust Semantic Segmentation: Strong Adversarial Attacks and Fast Training of Robust Models
Francesco Croce, Naman D Singh, Matthias Hein
Adversarial Attack Semantic Segmentation Adversarial Training Semantic Segmentation Model Robust Model Faster Training Robust Segmentation Robust Semantic Segmentation

May 18, 2023

Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation
Yuan Zhou, Xin Chen, Yanrong Guo, Shijie Hao, Richang Hong, Qi Tian
Adaptation Concern Semantic Segmentation Model Semantic Embeddings Relation Alignment

May 16, 2023

Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow
Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata
Semantic Segmentation Distribution Detection Segmentation Model Normalizing Flow Semantic Segmentation Model Dual Flow Perception Module Misclassification Detection

May 9, 2023

Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation
Tianle Chen, Zheda Mai, Ruiwen Li, Wei-lun Chao
Semantic Segmentation Fine Grained Segment Anything Model Pseudo Labeling Semantic Segmentation Model Weakly Supervised Semantic Segmentation Image Level Annotation Pixel Level Pseudo Label

April 19, 2023

April 14, 2023

Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement
Yuhui Wu, Chen Pan, Guoqing Wang, Yang Yang, Jiwei Wei, Chongyi Li, Heng Tao Shen
Low Light Image Enhancement Semantic Segmentation Model Semantic Guidance

April 11, 2023

PP-MobileSeg: Explore the Fast and Accurate Semantic Segmentation Model on Mobile Devices
Shiyu Tang, Ting Sun, Juncai Peng, Guowei Chen, Yuying Hao, Manhui Lin, Zhihong Xiao, Jiangbin You, Yi Liu
Semantic Segmentation Computer Vision Semantic Segmentation Model Mobile Device Downsampling Learnable Stride Technique

Semantic Segmentation Model

Papers

A Deeply Supervised Semantic Segmentation Method Based on GAN

LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and Reasoning

Learning Semantic Segmentation with Query Points Supervision on Aerial Images

BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation

Food Image Classification and Segmentation with Attention-based Multiple Instance Learning

Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation

MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation

Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge Distillation

On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation

Synthetic outlier generation for anomaly detection in autonomous driving

Assessing Systematic Weaknesses of DNNs using Counterfactuals

On Evaluating the Adversarial Robustness of Semantic Segmentation Models

Robust Semantic Segmentation: Strong Adversarial Attacks and Fast Training of Robust Models

Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation

Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow

Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation

MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation

Boosting Semantic Segmentation with Semantic Boundaries

Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement

PP-MobileSeg: Explore the Fast and Accurate Semantic Segmentation Model on Mobile Devices