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Semi-Supervised Semantic Segmentation

Models that are trained with a small number of labeled examples and a large number of unlabeled examples and whose aim is to learn to segment an image (i.e. assign a class to every pixel).

Papers

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Showing 101–150 of 190 papers

TitleStatusHype
Multi-Level Label Correction by Distilling Proximate Patterns for Semi-supervised Semantic Segmentation—0
FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye ImagesCode0
Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey—0
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation—0
Floor Plan Image Segmentation Via Scribble-Based Semi-Weakly Supervised Learning: A Style and Category-Agnostic ApproachCode0
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost DisturbancesCode0
Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells—0
Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization—0
Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data—0
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery—0
Triple-View Knowledge Distillation for Semi-Supervised Semantic Segmentation—0
360^ from a Single Camera: A Few-Shot Approach for LiDAR Segmentation—0
Semi-Supervised Semantic Segmentation via Marginal Contextual InformationCode0
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation—0
Semi-Supervised Semantic Segmentation of Cell Nuclei via Diffusion-based Large-Scale Pre-Training and Collaborative Learning—0
Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation—0
Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic SegmentationCode0
TrueDeep: A systematic approach of crack detection with less data—0
Semi-Supervised Semantic Segmentation With Region RelevanceCode0
CAFS: Class Adaptive Framework for Semi-Supervised Semantic SegmentationCode0
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation—0
SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic SegmentationCode0
A Survey on Semi-Supervised Semantic Segmentation—0
Navya3DSeg -- Navya 3D Semantic Segmentation Dataset & split generation for autonomous vehicles—0
Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images—0
Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation—0
CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision—0
Enhanced Soft Label for Semi-Supervised Semantic Segmentation—0
Locating Noise is Halfway Denoising for Semi-Supervised Segmentation—0
Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups—0
Semi-Supervised Semantic Segmentation Methods for UW-OCTA Diabetic Retinopathy Grade Assessment—0
Progressive Learning with Cross-Window Consistency for Semi-Supervised Semantic Segmentation—0
L-MAE: Masked Autoencoders are Semantic Segmentation Datasets Augmenter—0
Pseudo-Label Noise Suppression Techniques for Semi-Supervised Semantic SegmentationCode0
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasksCode0
Fuzzy Positive Learning for Semi-supervised Semantic Segmentation—0
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students—0
Semi-Supervised Semantic Segmentation with Cross Teacher TrainingCode0
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation—0
Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic SegmentationCode0
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation—0
What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation—0
Semi-Supervised Building Footprint Generation with Feature and Output Consistency Training—0
Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation—0
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization—0
Mapping Temporary Slums from Satellite Imagery using a Semi-Supervised Approach—0
Feature-enhanced Adversarial Semi-supervised Semantic Segmentation Network for Pulmonary Embolism Annotation—0
SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human Decomposition ImagesCode0
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference—0
n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation—0
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