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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/huanglizi/stpnet

공식 코드

STPNet: Scale-aware Text Prompt Network for Medical Image Segmentation

https://github.com/huanglizi/tfcns

공식 코드

TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation

https://github.com/huangmozhilv/u2net_torch

공식 코드

3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation

https://github.com/huangyjhust/3D-RU-Net

공식 코드

3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation

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

공식 코드

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

https://github.com/hui-po-wang/progfed

공식 코드

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

https://github.com/huiimin5/aua

공식 코드

Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation

https://github.com/huiimin5/comwin

공식 코드

Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation

https://github.com/hukenovs/easyportrait

공식 코드

EasyPortrait -- Face Parsing and Portrait Segmentation Dataset

https://github.com/hust-linyi/cat-net

공식 코드

Few Shot Medical Image Segmentation with Cross Attention Transformer

https://github.com/hust-linyi/seg_trick

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Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions

https://github.com/hustvl/maskadapter

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Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentation

https://github.com/hustxyy/fedia

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FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness

https://github.com/huuquan1994/wsi_glomerulus_seg

공식 코드

A General Pipeline for Glomerulus Whole-Slide Image Segmentation

https://github.com/huyquoctrinh/PEFNet

공식 코드

Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation

https://github.com/hvcl/ScribbleCont

공식 코드

Scribble-supervised Cell Segmentation Using Multiscale Contrastive Regularization

https://github.com/hvision-nku/maskclippp

공식 코드

MaskCLIP++: A Mask-Based CLIP Fine-tuning Framework for Open-Vocabulary Image Segmentation

https://github.com/hwei-hw/generalist_vision_foundation_models_for_medical_imaging

공식 코드

Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation

https://github.com/hyunwoo137/metaseg

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MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic Segmentation

https://github.com/iamjackyan/fed-lwr

공식 코드

A New Perspective to Boost Performance Fairness for Medical Federated Learning

https://github.com/iantsen/hecktor

공식 코드

Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images

https://github.com/ibm/multimodal-3d-image-segmentation

공식 코드

FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator

https://github.com/ibrain-lab/pingu

공식 코드

Perivascular space Identification Nnunet for Generalised Usage (PINGU)

https://github.com/icsc-spoke2-repo/fastextendedvision-deepcluster

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Datacube segmentation via Deep Spectral Clustering

https://github.com/idea-research/maskdino

공식 코드

Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation

https://github.com/idea-research/mp-former

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MP-Former: Mask-Piloted Transformer for Image Segmentation

https://github.com/iduta/pyconv

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Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition

https://github.com/imatge-upc/medical-2017-nipsw

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Cost-Effective Active Learning for Melanoma Segmentation

https://github.com/importzl/blo-sam

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BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM

https://github.com/importzl/semantic_segmentation

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Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes

https://github.com/imsy-dkfz/htc

공식 코드

Robust deep learning-based semantic organ segmentation in hyperspectral images

https://github.com/interpretty/ammunet

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AMMUNet: Multi-Scale Attention Map Merging for Remote Sensing Image Segmentation

https://github.com/ipic-lab/irsam

공식 코드

IRSAM: Advancing Segment Anything Model for Infrared Small Target Detection

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/isbrycee/t-mamba

공식 코드

T-Mamba: Frequency-Enhanced Gated Long-Range Dependency for Tooth 3D CBCT Segmentation

https://github.com/isl-org/lang-seg

공식 코드

Language-driven Semantic Segmentation

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