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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 101–125 of 190 papers

TitleStatusHype
L-MAE: Masked Autoencoders are Semantic Segmentation Datasets Augmenter—0
Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation—0
Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation—0
Learning High-Resolution Domain-Specific Representations with a GAN Generator—0
Locating Noise is Halfway Denoising for Semi-Supervised Segmentation—0
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation—0
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning—0
Mapping Temporary Slums from Satellite Imagery using a Semi-Supervised Approach—0
Mask-based Data Augmentation for Semi-supervised Semantic Segmentation—0
Multi-Level Label Correction by Distilling Proximate Patterns for Semi-supervised Semantic Segmentation—0
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation—0
Navya3DSeg -- Navya 3D Semantic Segmentation Dataset & split generation for autonomous vehicles—0
n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation—0
Fuzzy Positive Learning for Semi-supervised Semantic Segmentation—0
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation—0
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation—0
Progressive Learning with Cross-Window Consistency for Semi-Supervised Semantic Segmentation—0
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation—0
Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation—0
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation—0
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation—0
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation—0
Robust Mutual Learning for Semi-supervised Semantic Segmentation—0
S4-Net: Geometry-Consistent Semi-Supervised Semantic Segmentation—0
SAMST: A Transformer framework based on SAM pseudo label filtering for remote sensing semi-supervised semantic segmentation—0
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