Saved in:
| Main Authors: | Zhang, Peng, Lai, Zhihui, Kong, Heng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.02265 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation
by: He, Shihuan, et al.
Published: (2025)
by: He, Shihuan, et al.
Published: (2025)
Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation
by: Qu, Jingguo, et al.
Published: (2026)
by: Qu, Jingguo, et al.
Published: (2026)
FaNe: Towards Fine-Grained Cross-Modal Contrast with False-Negative Reduction and Text-Conditioned Sparse Attention
by: Zhang, Peng, et al.
Published: (2025)
by: Zhang, Peng, et al.
Published: (2025)
Dcl-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation
by: Wen, Lu, et al.
Published: (2024)
by: Wen, Lu, et al.
Published: (2024)
Graph-Weighted Contrastive Learning for Semi-Supervised Hyperspectral Image Classification
by: Zhang, Yuqing, et al.
Published: (2025)
by: Zhang, Yuqing, et al.
Published: (2025)
Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation
by: Cai, Lingcong, et al.
Published: (2024)
by: Cai, Lingcong, et al.
Published: (2024)
SemiGDA: Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2026)
by: Huang, Kaiwen, et al.
Published: (2026)
Semi-Supervised Medical Image Segmentation via Dual Networks
by: Lu, Yunyao, et al.
Published: (2025)
by: Lu, Yunyao, et al.
Published: (2025)
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification
by: Zhang, Xuerong, et al.
Published: (2024)
by: Zhang, Xuerong, et al.
Published: (2024)
Adaptive Mix for Semi-Supervised Medical Image Segmentation
by: Shen, Zhiqiang, et al.
Published: (2024)
by: Shen, Zhiqiang, et al.
Published: (2024)
Universal Semi-Supervised Learning for Medical Image Classification
by: Ju, Lie, et al.
Published: (2023)
by: Ju, Lie, et al.
Published: (2023)
Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure Network
by: Tain, Zhibo, et al.
Published: (2023)
by: Tain, Zhibo, et al.
Published: (2023)
Style-Aware Blending and Prototype-Based Cross-Contrast Consistency for Semi-Supervised Medical Image Segmentation
by: Chen, Chaowei, et al.
Published: (2025)
by: Chen, Chaowei, et al.
Published: (2025)
PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning
by: Tian, Bowen, et al.
Published: (2024)
by: Tian, Bowen, et al.
Published: (2024)
ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling
by: Chen, Yaxiong, et al.
Published: (2025)
by: Chen, Yaxiong, et al.
Published: (2025)
Semantic Class Distribution Learning for Debiasing Semi-Supervised Medical Image Segmentation
by: Su, Yingxue, et al.
Published: (2026)
by: Su, Yingxue, et al.
Published: (2026)
Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
by: Abhishek, Kumar, et al.
Published: (2026)
by: Abhishek, Kumar, et al.
Published: (2026)
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
by: Xie, Haoyu, et al.
Published: (2024)
by: Xie, Haoyu, et al.
Published: (2024)
Semiconductor SEM Image Defect Classification Using Supervised and Semi-Supervised Learning with Vision Transformers
by: Chien-Fu, et al.
Published: (2025)
by: Chien-Fu, et al.
Published: (2025)
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation
by: Pan, Qingtao, et al.
Published: (2024)
by: Pan, Qingtao, et al.
Published: (2024)
Dual Teacher-Student Learning for Semi-supervised Medical Image Segmentation
by: Zhang, Pengchen, et al.
Published: (2025)
by: Zhang, Pengchen, et al.
Published: (2025)
Fully Differentiable Bidirectional Dual-Task Synergistic Learning for Semi-Supervised 3D Medical Image Segmentation
by: Li, Jun
Published: (2026)
by: Li, Jun
Published: (2026)
CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection
by: Lai, Xunfa, et al.
Published: (2024)
by: Lai, Xunfa, et al.
Published: (2024)
Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification
by: Singh, Pranav, et al.
Published: (2023)
by: Singh, Pranav, et al.
Published: (2023)
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
by: Chi, Hanyang, et al.
Published: (2024)
by: Chi, Hanyang, et al.
Published: (2024)
Learning Semi-Supervised Medical Image Segmentation from Spatial Registration
by: Liu, Qianying, et al.
Published: (2024)
by: Liu, Qianying, et al.
Published: (2024)
Dual-Scale Volume Priors with Wasserstein-Based Consistency for Semi-Supervised Medical Image Segmentation
by: Meng, Junying, et al.
Published: (2025)
by: Meng, Junying, et al.
Published: (2025)
Adaptive Knowledge Transferring with Switching Dual-Student Framework for Semi-Supervised Medical Image Segmentation
by: Nguyen, Hoang-Thien, et al.
Published: (2025)
by: Nguyen, Hoang-Thien, et al.
Published: (2025)
Feedback-Driven Pseudo-Label Reliability Assessment: Redefining Thresholding for Semi-Supervised Semantic Segmentation
by: Ghamsarian, Negin, et al.
Published: (2025)
by: Ghamsarian, Negin, et al.
Published: (2025)
Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation
by: Ye, Zanting, et al.
Published: (2025)
by: Ye, Zanting, et al.
Published: (2025)
Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation
by: Zeng, Dewen, et al.
Published: (2025)
by: Zeng, Dewen, et al.
Published: (2025)
CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation
by: Taghavi, Pardis, et al.
Published: (2025)
by: Taghavi, Pardis, et al.
Published: (2025)
Learn From Zoom: Decoupled Supervised Contrastive Learning For WCE Image Classification
by: Qiu, Kunpeng, et al.
Published: (2024)
by: Qiu, Kunpeng, et al.
Published: (2024)
Endo-SemiS: Towards Robust Semi-Supervised Image Segmentation for Endoscopic Video
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
Bidirectional Uncertainty-Aware Region Learning for Semi-Supervised Medical Image Segmentation
by: Zhou, Shiwei, et al.
Published: (2025)
by: Zhou, Shiwei, et al.
Published: (2025)
Enhancing Dual Network Based Semi-Supervised Medical Image Segmentation with Uncertainty-Guided Pseudo-Labeling
by: Lu, Yunyao, et al.
Published: (2025)
by: Lu, Yunyao, et al.
Published: (2025)
Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information
by: Lai, Qi, et al.
Published: (2024)
by: Lai, Qi, et al.
Published: (2024)
Uncertainty-Aware Extreme Point Tracing for Weakly Supervised Ultrasound Image Segmentation
by: Shi, Lei, et al.
Published: (2025)
by: Shi, Lei, et al.
Published: (2025)
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation
by: He, Jiaying, et al.
Published: (2025)
by: He, Jiaying, et al.
Published: (2025)
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation
by: Zhang, Ye, et al.
Published: (2024)
by: Zhang, Ye, et al.
Published: (2024)
Similar Items
-
Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation
by: He, Shihuan, et al.
Published: (2025) -
Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation
by: Qu, Jingguo, et al.
Published: (2026) -
FaNe: Towards Fine-Grained Cross-Modal Contrast with False-Negative Reduction and Text-Conditioned Sparse Attention
by: Zhang, Peng, et al.
Published: (2025) -
Dcl-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation
by: Wen, Lu, et al.
Published: (2024) -
Graph-Weighted Contrastive Learning for Semi-Supervised Hyperspectral Image Classification
by: Zhang, Yuqing, et al.
Published: (2025)