Saved in:
| Main Authors: | Li, Lin, Liu, Jingyi, Wang, Shuo, Wang, Xunkun, Xiang, Tian-Zhu |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2207.00973 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Microscopic Image Instance Segmentation for Food Crystal Quality Control
by: Ji, Xiaoyu, et al.
Published: (2024)
by: Ji, Xiaoyu, et al.
Published: (2024)
A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation
by: Yu, Wenjing, et al.
Published: (2025)
by: Yu, Wenjing, et al.
Published: (2025)
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation
by: Shen, Yao, et al.
Published: (2024)
by: Shen, Yao, et al.
Published: (2024)
Boundary-Guided Camouflaged Object Detection
by: Sun, Yujia, et al.
Published: (2022)
by: Sun, Yujia, et al.
Published: (2022)
Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation
by: Liu, Chenying, et al.
Published: (2024)
by: Liu, Chenying, et al.
Published: (2024)
Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation
by: Pan, Jingyi, et al.
Published: (2023)
by: Pan, Jingyi, et al.
Published: (2023)
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation
by: Liu, Chenying, et al.
Published: (2024)
by: Liu, Chenying, et al.
Published: (2024)
Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation
by: Li, Fanding, et al.
Published: (2025)
by: Li, Fanding, et al.
Published: (2025)
FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image
by: Feng, Xiang, et al.
Published: (2023)
by: Feng, Xiang, et al.
Published: (2023)
VPBSD:Vessel-Pattern-Based Semi-Supervised Distillation for Efficient 3D Microscopic Cerebrovascular Segmentation
by: Lin, Xi, et al.
Published: (2024)
by: Lin, Xi, et al.
Published: (2024)
RRSIS: Referring Remote Sensing Image Segmentation
by: Yuan, Zhenghang, et al.
Published: (2023)
by: Yuan, Zhenghang, et al.
Published: (2023)
No Modality Left Behind: Adapting to Missing Modalities via Knowledge Distillation for Brain Tumor Segmentation
by: Zhu, Shenghao, et al.
Published: (2025)
by: Zhu, Shenghao, et al.
Published: (2025)
Fully Kolmogorov-Arnold Deep Model in Medical Image Segmentation
by: Qiu, Xingyu, et al.
Published: (2026)
by: Qiu, Xingyu, et al.
Published: (2026)
Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction
by: Pan, Jingyi, et al.
Published: (2024)
by: Pan, Jingyi, et al.
Published: (2024)
A Simple Image Segmentation Framework via In-Context Examples
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Self-Supervised Alignment Learning for Medical Image Segmentation
by: Li, Haofeng, et al.
Published: (2024)
by: Li, Haofeng, et al.
Published: (2024)
TALENT: Target-aware Efficient Tuning for Referring Image Segmentation
by: Jin, Shuo, et al.
Published: (2026)
by: Jin, Shuo, et al.
Published: (2026)
Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation
by: Wang, Wentao, et al.
Published: (2024)
by: Wang, Wentao, et al.
Published: (2024)
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
by: Xing, Zhaohu, et al.
Published: (2024)
by: Xing, Zhaohu, et al.
Published: (2024)
Personalized Federated Learning with Residual Fisher Information for Medical Image Segmentation
by: Zhu, Meilu, et al.
Published: (2026)
by: Zhu, Meilu, et al.
Published: (2026)
Attention to details, logits to truth: visual-aware attention and logits enhancement to mitigate hallucinations in LVLMs
by: Wang, Jingyi, et al.
Published: (2026)
by: Wang, Jingyi, et al.
Published: (2026)
Malicious Image Analysis via Vision-Language Segmentation Fusion: Detection, Element, and Location in One-shot
by: Hang, Sheng, et al.
Published: (2025)
by: Hang, Sheng, et al.
Published: (2025)
Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation
by: Zhu, Shenghao, et al.
Published: (2025)
by: Zhu, Shenghao, et al.
Published: (2025)
A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges
by: Lin, Xinyu, et al.
Published: (2023)
by: Lin, Xinyu, et al.
Published: (2023)
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models
by: Gong, Haifan, et al.
Published: (2024)
by: Gong, Haifan, 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)
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images
by: Wang, Yifei, et al.
Published: (2024)
by: Wang, Yifei, et al.
Published: (2024)
A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark
by: Yang, Zhigang, et al.
Published: (2025)
by: Yang, Zhigang, et al.
Published: (2025)
PBE-UNet: A light weight Progressive Boundary-Enhanced U-Net with Scale-Aware Aggregation for Ultrasound Image Segmentation
by: Wang, Chen, et al.
Published: (2026)
by: Wang, Chen, et al.
Published: (2026)
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model
by: Gong, Haifan, et al.
Published: (2024)
by: Gong, Haifan, et al.
Published: (2024)
Shifting Adaptation from Weight Space to Memory Space: A Memory-Augmented Agent for Medical Image Segmentation
by: Chen, Bowen, et al.
Published: (2026)
by: Chen, Bowen, et al.
Published: (2026)
Image to Pseudo-Episode: Boosting Few-Shot Segmentation by Unlabeled Data
by: Zhang, Jie, et al.
Published: (2024)
by: Zhang, Jie, et al.
Published: (2024)
Toward Real-World High-Precision Image Matting and Segmentation
by: Zhou, Haipeng, et al.
Published: (2026)
by: Zhou, Haipeng, et al.
Published: (2026)
SSFMamba: Learning Symmetry-driven Spatial-Frequency Modeling for Physically Consistent 3D Medical Image Segmentation
by: Zhang, Bo, et al.
Published: (2025)
by: Zhang, Bo, et al.
Published: (2025)
Multimodal Information Interaction for Medical Image Segmentation
by: Fan, Xinxin, et al.
Published: (2024)
by: Fan, Xinxin, et al.
Published: (2024)
InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for Microscopic Medical Image Segmentation
by: Kareem, Daniya Najiha Abdul, et al.
Published: (2025)
by: Kareem, Daniya Najiha Abdul, et al.
Published: (2025)
UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images
by: Zhu, Enze, et al.
Published: (2024)
by: Zhu, Enze, et al.
Published: (2024)
Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images
by: Li, Kaiyu, et al.
Published: (2025)
by: Li, Kaiyu, et al.
Published: (2025)
LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching
by: Tian, Mengxiao, et al.
Published: (2025)
by: Tian, Mengxiao, et al.
Published: (2025)
SmaRT: Style-Modulated Robust Test-Time Adaptation for Cross-Domain Brain Tumor Segmentation in MRI
by: Wang, Yuanhan, et al.
Published: (2025)
by: Wang, Yuanhan, et al.
Published: (2025)
Similar Items
-
Efficient Microscopic Image Instance Segmentation for Food Crystal Quality Control
by: Ji, Xiaoyu, et al.
Published: (2024) -
A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation
by: Yu, Wenjing, et al.
Published: (2025) -
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation
by: Shen, Yao, et al.
Published: (2024) -
Boundary-Guided Camouflaged Object Detection
by: Sun, Yujia, et al.
Published: (2022) -
Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation
by: Liu, Chenying, et al.
Published: (2024)