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Weakly supervised segmentation

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코드

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

https://github.com/HealthX-Lab/HGI-SAM

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Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNet

https://github.com/IntuitionMachines/OrigamiNet

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OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold

https://github.com/IoBT-VISTEC/OCTAve

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OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation

https://github.com/KangchengLiu/Feature-Geometric-Net-FG-Net

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FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling

https://github.com/LIVIAETS/SizeLoss_WSS

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Constrained-CNN losses for weakly supervised segmentation

https://github.com/LIVIAETS/extended_logbarrier

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Constrained Deep Networks: Lagrangian Optimization via Log-Barrier Extensions

https://github.com/Nexuslkl/Swin_MIL

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Transformer based multiple instance learning for weakly supervised histopathology image segmentation

https://github.com/PengyiZhang/ACCL

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ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation

https://github.com/ReubenDo/InExtremIS

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Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation

https://github.com/Seolen/weak_seg_via_shape_model

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Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model

https://github.com/Simael/mlds-unet

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Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation

https://github.com/antoinehabis/wss-uic

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Scribble-based fast weak-supervision and interactive corrections for segmenting whole slide images

https://github.com/apple2373/min-seg-road

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Minimizing Supervision for Free-space Segmentation

https://github.com/arvijj/hfpl

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High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation

https://github.com/bluehenglee/mli-msc

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Weakly Supervised Segmentation Framework for Thyroid Nodule Based on High-confidence Labels and High-rationality Losses

https://github.com/cenkbircanoglu/isim

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ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentation

https://github.com/circleradon/apro

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Label-efficient Segmentation via Affinity Propagation

https://github.com/dbash/zerowaste

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ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes

https://github.com/ddrrnn123/cacl

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CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns

https://github.com/deepplants/vit-pcm

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Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation

https://github.com/dmitrii-marin/robust_trust_region

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Robust Trust Region for Weakly Supervised Segmentation

https://github.com/fcdl94/MiB

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Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation

https://github.com/gaurav104/WSS-CMER

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Weakly supervised segmentation with cross-modality equivariant constraints

https://github.com/gaviotas/amn

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Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds

https://github.com/gvalvano/multiscale-pyag

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Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning

https://github.com/hilab-git/pymic

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PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation

https://github.com/hilab-git/pymic_examples

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PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation

https://github.com/hilab-git/word

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WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

https://github.com/hrzhang1123/cvm_ws_segmentation

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Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model

https://github.com/hugo-oliveira/fsws_metalearning

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Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation

https://github.com/ipmi-nwu/helpnet

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HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image Segmentation

https://github.com/jbeomlee93/BBAM

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BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation

https://github.com/js-fan/CIAN

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CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation

https://github.com/kainmueller-lab/tw-autoencoder

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Model Guidance via Explanations Turns Image Classifiers into Segmentation Models

https://github.com/kangningthu/adele

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Adaptive Early-Learning Correction for Segmentation from Noisy Annotations

https://github.com/links-ads/igarss-spada

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Land Cover Segmentation with Sparse Annotations from Sentinel-2 Imagery

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