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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 51–75 of 190 papers

TitleStatusHype
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
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic SegmentationCode1
Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure NetworkCode1
Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic SegmentationCode0
Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation—0
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic SegmentationCode1
TrueDeep: A systematic approach of crack detection with less data—0
Bidirectional Copy-Paste for Semi-Supervised Medical Image SegmentationCode2
Semi-Supervised Semantic Segmentation With Region RelevanceCode0
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic SegmentationCode1
CAFS: Class Adaptive Framework for Semi-Supervised Semantic SegmentationCode0
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic SegmentationCode1
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation—0
SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic SegmentationCode0
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic SegmentationCode1
A Survey on Semi-Supervised Semantic Segmentation—0
Navya3DSeg -- Navya 3D Semantic Segmentation Dataset & split generation for autonomous vehicles—0
Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic SegmentationCode1
Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images—0
Semi-Supervised Semantic Segmentation via Gentle Teaching AssistantCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
Locating Noise is Halfway Denoising for Semi-Supervised Segmentation—0
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