Papers with Code 아카이브

Image Segmentation

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하위 태스크: 1
평가표: 13
보존된 평가 기록: 34

Image Segmentation is a computer vision task that involves dividing an image into multiple segments or regions, each of which corresponds to a different object or part of an object. The goal of image segmentation is to assign a unique label or category to each pixel in the image, so that pixels with similar attributes are grouped together.

코드

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

https://github.com/YangjiaqiDig/TACLNet

공식 코드

A Topology-Attention ConvLSTM Network and Its Application to EM Images

https://github.com/YanglanOu/LambdaUNet

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LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images

https://github.com/Yangzhangcst/AF-graph

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Affinity Fusion Graph-based Framework for Natural Image Segmentation

https://github.com/YaoZhang93/MAML

공식 코드

Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation

https://github.com/YaoZhang93/Semi-supervised-Cardiac-Image-Segmentation-via-Label-Propagation-and-Style-Transfer

공식 코드

Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer

https://github.com/Yaozhuwa/FisheyeSeg

공식 코드

Universal Semantic Segmentation for Fisheye Urban Driving Images

https://github.com/YazhouZhu19/PAMI

공식 코드

Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation

https://github.com/YazhouZhu19/RobustEMD

공식 코드

RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation

https://github.com/YichiZhang98/DTML

공식 코드

Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation

https://github.com/YtongXie/CoTr

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CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

https://github.com/YuLiu-LY/BO-QSA

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Improving Object-centric Learning with Query Optimization

https://github.com/Yuxuan-Wen/Sim2real-Guidewire-Seg

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Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy

https://github.com/ZJUGiveLab/UNet-Version

공식 코드

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

https://github.com/ZerojumpLine/OverfittingUnderClassImbalance

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Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation

https://github.com/ZhilingYan/Biomedical-SAM-2

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Biomedical SAM 2: Segment Anything in Biomedical Images and Videos

https://github.com/a-ngj/image-segmentation-cli

공식 코드

Visual Context-Aware Person Fall Detection

https://github.com/a2amir/sfs-a68

공식 코드

SFS-A68: a dataset for the segmentation of space functions in apartment buildings

https://github.com/a514514772/progfed

공식 코드

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training

https://github.com/aangelopoulos/rcps

공식 코드

Distribution-Free, Risk-Controlling Prediction Sets

https://github.com/abdul2706/MaxViT-UNet

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MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation

https://github.com/abearman/whats-the-point1

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What's the Point: Semantic Segmentation with Point Supervision

https://github.com/abhi4ssj/few-shot-segmentation

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'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images

https://github.com/abhishekdbihani/MudrockNet

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MudrockNet: Semantic Segmentation of Mudrock SEM Images through Deep Learning

https://github.com/acasamitjana/uslr

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USLR: an open-source tool for unbiased and smooth longitudinal registration of brain MR

https://github.com/adigasu/anatomically-aware_uncertainty_for_semi-supervised_segmentation

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Anatomically-aware Uncertainty for Semi-supervised Image Segmentation

https://github.com/adlsn/sli2volplus

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Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network

https://github.com/adnan-cas/atrouslora

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VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with AtrousLoRA

https://github.com/adri-romsor/iterative_inference_segm

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Image Segmentation by Iterative Inference from Conditional Score Estimation

https://github.com/aecelaya/gen-surf-loss

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A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation

https://github.com/aecelaya/mg-nets

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FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation

https://github.com/agaldran/kpis

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KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level

https://github.com/agaldran/lesion_losses_ood

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On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness

https://github.com/agis85/multimodal_segmentation

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Disentangle, align and fuse for multimodal and semi-supervised image segmentation

https://github.com/agosl/Orthogonal_Ensemble_Networks

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Orthogonal Ensemble Networks for Biomedical Image Segmentation

https://github.com/ahukui/BOWDANet

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Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation

https://github.com/ahukui/SIPNet

공식 코드

Selective Information Passing for MR/CT Image Segmentation

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