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Segmentation

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/hanzy1996/openseg-r

공식 코드

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning

https://github.com/haochenheheda/SwiftNet

공식 코드

SwiftNet: Real-time Video Object Segmentation

https://github.com/haochenheheda/lvvis

공식 코드

Towards Open-Vocabulary Video Instance Segmentation

https://github.com/haojunyu1998/large_voc_seg

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LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier

https://github.com/haojunyu1998/larvseg

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LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier

https://github.com/haoli12345/cats

공식 코드

CATS v2: Hybrid encoders for robust medical segmentation

https://github.com/haolsun/api

공식 코드

Attentional Prototype Inference for Few-Shot Segmentation

https://github.com/haonanguo/bfseg-efficient-building-footprint-segmentation-framework

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Expediting Building Footprint Extraction from High-resolution Remote Sensing Images via progressive lenient supervision

https://github.com/haoningwu3639/MRGen

공식 코드

MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities

https://github.com/haoshao-nku/medical_seg

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Polyper: Boundary Sensitive Polyp Segmentation

https://github.com/haowang420/boemd-net

공식 코드

Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks

https://github.com/haoxu0507/ipmi25-sam-assisted-registration

공식 코드

Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour Awareness

https://github.com/haoxu0507/isbi2023-one-shot-wm-tract-segmentation

공식 코드

A Registration- and Uncertainty-based Framework for White Matter Tract Segmentation With Only One Annotated Subject

https://github.com/haoxuanli-thu/dbf-unet

공식 코드

DBF-UNet: A Two-Stage Framework for Carotid Artery Segmentation with Pseudo-Label Generation

https://github.com/haoxuanli-thu/hcma-unet

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HCMA-UNet: A Hybrid CNN-Mamba UNet with Axial Self-Attention for Efficient Breast Cancer Segmentation

https://github.com/happytianhao/tade

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Improving Bird's Eye View Semantic Segmentation by Task Decomposition

https://github.com/harboryuan/ovsam

공식 코드

Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively

https://github.com/harboryuan/polyphonicformer

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PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation

https://github.com/hardyho/ultrametric_feature_fields

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View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields

https://github.com/harisbinzia/Urdu-Word-Segmentation

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Urdu Word Segmentation using Conditional Random Fields (CRFs)

https://github.com/harshm121/m3l

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Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation

https://github.com/harshs27/tglad

공식 코드

Are uGLAD? Time will tell!

https://github.com/haruishi43/boundary_boost_mmseg

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Boosting Semantic Segmentation with Semantic Boundaries

https://github.com/harvard-ophthalmology-ai-lab/fairseg

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FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling

https://github.com/harveerar/PSIGAN

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PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation

https://github.com/hashmatshadab/robustness-of-volumetric-medical-segmentation-models

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On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models

https://github.com/hasibzunair/masksup-segmentation

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Masked Supervised Learning for Semantic Segmentation

https://github.com/hasibzunair/sharp-unets

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Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation

https://github.com/havelhakimi/IterMiunet

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IterMiUnet: A lightweight architecture for automatic blood vessel segmentation

https://github.com/hawk-sudo/segimgnet

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SegImgNet: Segmentation-Guided Dual-Branch Network for Retinal Disease Diagnoses

https://github.com/hayleypark/MorphologyMatters

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Morphology Matters: A Multilingual Language Modeling Analysis

https://github.com/hci-unihd/pytorch-LearnedRandomWalker

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End-to-End Learned Random Walker for Seeded Image Segmentation

https://github.com/hding2455/DSC

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Deeply Shape-guided Cascade for Instance Segmentation

https://github.com/hding2455/carts

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CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data

https://github.com/he-y/dataset-pruning-for-instance-segmentation

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Training-Free Dataset Pruning for Instance Segmentation

https://github.com/healthml/active-segmentation

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Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation

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