Papers with Code 아카이브

Segmentation

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보존된 평가 기록

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코드

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

https://github.com/j-morano/multimodal-ssl-fpn

공식 코드

Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation

https://github.com/j-morano/rrwnet

공식 코드

RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification

https://github.com/jaburke166/deepgpet

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An open-source deep learning algorithm for efficient and fully-automatic analysis of the choroid in optical coherence tomography

https://github.com/jaburke166/sloctolyzer

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SLOctolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in scanning laser ophthalmoscopy images

https://github.com/jackstelling/biasmitigation

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"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving

https://github.com/jacobkoenig/WeaklySupervisedCrackSeg

공식 코드

Weakly-Supervised Surface Crack Segmentation by Generating Pseudo-Labels using Localization with a Classifier and Thresholding

https://github.com/jacobzhaoziyuan/ACT-Net

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ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image Segmentation

https://github.com/jacobzhaoziyuan/HCR-MT

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Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation

https://github.com/jacobzhaoziyuan/MMGL

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MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation

https://github.com/jacobzhaoziyuan/MT-UDA

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MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels

https://github.com/jacobzhaoziyuan/SAAL

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Self-supervised Assisted Active Learning for Skin Lesion Segmentation

https://github.com/jacobzhaoziyuan/le-uda

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LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation

https://github.com/jadie1/medseguq

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Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation

https://github.com/jahongir7174/vip2021

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Instance Segmentation Challenge Track Technical Report, VIPriors Workshop at ICCV 2021: Task-Specific Copy-Paste Data Augmentation Method for Instance Segmentation

https://github.com/jairsan/segmentation-free_streaming_machine_translation

공식 코드

Segmentation-Free Streaming Machine Translation

https://github.com/jakerylandwilliams/partitioner

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Boundary-based MWE segmentation with text partitioning

https://github.com/james128333/HarDNet-MSEG

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HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS

https://github.com/jamesjg/foodsam

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FoodSAM: Any Food Segmentation

https://github.com/jamycheung/DELIVER

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Delivering Arbitrary-Modal Semantic Segmentation

https://github.com/jamycheung/ISSAFE

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ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data

https://github.com/jamycheung/trans4pass

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Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation

https://github.com/janelia-flyem/DVIDSparkServices

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Large-Scale Electron Microscopy Image Segmentation in Spark

https://github.com/janelia-flyem/NeuroProof

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A Context-aware Delayed Agglomeration Framework for Electron Microscopy Segmentation

https://github.com/janelia-flyem/gala

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Machine learning of hierarchical clustering to segment 2D and 3D images

https://github.com/jankowskichristopher/red-teaming-segment-anything-model

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Red-Teaming Segment Anything Model

https://github.com/jarvis73/fptrans

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Feature-Proxy Transformer for Few-Shot Segmentation

https://github.com/jasonppy/syllable-discovery

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Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Model

https://github.com/jasonppy/word-discovery

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Word Discovery in Visually Grounded, Self-Supervised Speech Models

https://github.com/jayparanjape/biastuning

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AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation

https://github.com/jayparanjape/blackbox

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Blackbox Adaptation for Medical Image Segmentation

https://github.com/jayxjsun/clip-tnseg

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CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images

https://github.com/jbeomlee93/AdvCAM

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Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic 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/jbernoz/deeppolyp

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A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images

https://github.com/jcreinhold/annom

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Finding novelty with uncertainty

https://github.com/jcruan519/malunet

공식 코드

MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation

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