Semantic Segmentation

Semantic segmentation, the task of assigning a semantic label to each pixel in an image, aims to achieve precise pixel-level scene understanding. Current research emphasizes improving accuracy and efficiency across diverse data modalities (RGB, depth, lidar, hyperspectral, and time series) and challenging conditions (low light, adverse weather, imbalanced datasets), often employing advanced architectures like transformers and diffusion models alongside innovative loss functions and training strategies. This field is crucial for numerous applications, including autonomous driving, medical image analysis, remote sensing, and robotics, driving advancements in both model robustness and interpretability.

Papers

July 18, 2024

Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability
Judith Dijk, Gertjan Burghouts, Kapil D. Katyal, Bryanna Y. Yeh, Craig T. Knuth, Ella Fokkinga, Tejaswi Kasarla, Pascal Mettes
Semantic Segmentation Uncertainty Quantification Image Segmentation Image Segmentation Model Terrain Traversability Terrain Segmentation Multiclass Segmentation
Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation
Chang Liu, Giulia Rizzoli, Pietro Zanuttigh, Fu Li, Yi Niu
LeArning Abstract Semantic Segmentation Incremental Learning Pixel Level Annotation Image Level Label New Language
Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation
Shoumeng Qiu, Jie Chen, Xinrun Li, Ru Wan, Xiangyang Xue, Jian Pu
Semantic Segmentation Knowledge Distillation Good Teacher Novel Knowledge Distillation Soft Label Distillation
Tree semantic segmentation from aerial image time series
Venkatesh Ramesh, Arthur Ouaknine, David Rolnick
Semantic Segmentation Time Series Aerial Image Tree Specie Aerial Image Dataset

July 17, 2024

Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
Luís Almeida, Inês Dutra, Francesco Renna
Semantic Segmentation Uncertainty Estimation Class Imbalance Pixel Correlation Instance Wise Uncertainty
Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation
Ruijie Xu, Chuyu Zhang, Hui Ren, Xuming He
Semantic Segmentation Point Cloud Point Cloud Segmentation Novel Class Discovery Point Cluster Self Labeling
Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation
Hyun Seok Seong, WonJun Moon, SuBeen Lee, Jae-Pil Heo
Contrastive Learning Semantic Segmentation Unsupervised Semantic Segmentation Semantic Patch
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference
Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang
Semantic Segmentation Vision Language Model Open Vocabulary Semantic Segmentation Segmentation Quality CLIP Representation

July 16, 2024

SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds
Yanbo Wang, Wentao Zhao, Chuan Cao, Tianchen Deng, Jingchuan Wang, Weidong Chen
Semantic Segmentation Mid Range LiDAR LiDAR Point Cloud Solid State LiDAR
Leveraging Segment Anything Model in Identifying Buildings within Refugee Camps (SAM4Refugee) from Satellite Imagery for Humanitarian Operations
Yunya Gao
Semantic Segmentation Segment Anything Model Satellite Imagery High Resolution Satellite Elev Vision Sam Humanitarian Response Building Extraction Refugee Law
Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities
Xu Zheng, Yuanhuiyi Lyu, Lin Wang
Semantic Segmentation Vision Language Model Different Modality Multi Modal Feature Image Modality Modality Agnostic
Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation
Xu Zheng, Yuanhuiyi Lyu, Jiazhou Zhou, Lin Wang
Semantic Segmentation High Efficiency Multimodal Fusion Different Modality Net Present Value Multi Modal Feature Multimodal Framework RGB Modality
TCFormer: Visual Recognition via Token Clustering Transformer
Wang Zeng, Sheng Jin, Lumin Xu, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo, Xiaogang Wang
Semantic Segmentation Computer Vision Visual Recognition Token Clustering

July 15, 2024

Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding
Danish Nazir, Timo Bartels, Jan Piewek, Thorsten Bagdonat, Tim Fingscheidt
Deep Neural Network Semantic Segmentation Related Task Joint Source Channel Coding Task Specific Decoder Deep Neural Network Parameter
Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras
Hoonhee Cho, Sung-Hoon Yoon, Hyeokjun Kweon, Kuk-Jin Yoon
Semantic Segmentation Event Camera Exceptional Point Weakly Supervised Semantic Segmentation Event Based Semantic Segmentation Sparse Point Annotation
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
Walter Simoncini, Spyros Gidaris, Andrei Bursuc, Yuki M. Asano
Semantic Segmentation High Speed Train System Vision Encoders Self Supervised Objective Big Gain

July 13, 2024

Enhancing Semantic Segmentation with Adaptive Focal Loss: A Novel Approach
Md Rakibul Islam, Riad Hassan, Abdullah Nazib, Kien Nguyen, Clinton Fookes, Md Zahidul Islam
Semantic Segmentation Loss Function Novel Approach Focal Loss
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance
Xiaoxu Xu, Yitian Yuan, Jinlong Li, Qiudan Zhang, Zequn Jie, Lin Ma, Hao Tang, Nicu Sebe, Xu Wang
Semantic Segmentation 2 Dimensional 3D Semantic Segmentation 2 Dimensional Vision Language Model Weakly Supervised 3D Characteristic Guidance

July 12, 2024

Uplifting Range-View-based 3D Semantic Segmentation in Real-Time with Multi-Sensor Fusion
Shiqi Tan, Hamidreza Fazlali, Yixuan Xu, Yuan Ren, Bingbing Liu
Semantic Segmentation Point Cloud 3D Point Cloud 3D Semantic Segmentation Multi Sensor Fusion Range View
FANet: Feature Amplification Network for Semantic Segmentation in Cluttered Background
Muhammad Ali, Mamoona Javaid, Mubashir Noman, Mustansar Fiaz, Salman Khan
Semantic Segmentation Feature Enhancement

Semantic Segmentation

Papers

Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability

Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation

Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation

Tree semantic segmentation from aerial image time series

Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation

Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation

Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation

ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference

SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds

Leveraging Segment Anything Model in Identifying Buildings within Refugee Camps (SAM4Refugee) from Satellite Imagery for Humanitarian Operations

Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities

Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation

TCFormer: Visual Recognition via Token Clustering Transformer

Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding

Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras

No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations

Enhancing Semantic Segmentation with Adaptive Focal Loss: A Novel Approach

3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance

Uplifting Range-View-based 3D Semantic Segmentation in Real-Time with Multi-Sensor Fusion

FANet: Feature Amplification Network for Semantic Segmentation in Cluttered Background