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Weakly-supervised Learning

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코드

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

https://github.com/jeromerony/survey_wsl_histology

공식 코드

Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey

https://github.com/johnson111788/drag-drop

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Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data

https://github.com/kaichiuwong/rlhps

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Weak Human Preference Supervision For Deep Reinforcement Learning

https://github.com/kdwonn/SaG

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Shatter and Gather: Learning Referring Image Segmentation with Text Supervision

https://github.com/knodle/knodle

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Knodle: Modular Weakly Supervised Learning with PyTorch

https://github.com/laiguokun/xlu-data

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Bridging the domain gap in cross-lingual document classification

https://github.com/lc0197/emotional_trajectories_stories

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Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning

https://github.com/levelfour/SU_Classification

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Classification from Pairwise Similarity and Unlabeled Data

https://github.com/libeibeics/asyco

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AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning

https://github.com/liuf1990/3DFC

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3D Face Modeling From Diverse Raw Scan Data

https://github.com/liuzywen/lfscribble

공식 코드

LFSamba: Marry SAM with Mamba for Light Field Salient Object Detection

https://github.com/llmir/fedlppa

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FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation

https://github.com/llmir/yolocurvseg

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YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation

https://github.com/loic-lb/ood_mil

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On the detection of Out-Of-Distribution samples in Multiple Instance Learning

https://github.com/lseventeen/dias

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DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences

https://github.com/luisamaerz/knowman

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KnowMAN: Weakly Supervised Multinomial Adversarial Networks

https://github.com/lukasliebel/dfc2020_baseline

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Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping -- Challenges and Opportunities

https://github.com/lwhyc/oneshot_weaklyseg

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One-shot Weakly-Supervised Segmentation in Medical Images

https://github.com/m-qiang/CoSeg

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Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations

https://github.com/macarbonneau/MILSurvey

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Multiple Instance Learning: A Survey of Problem Characteristics and Applications

https://github.com/mahmoodlab/mamba

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Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples

https://github.com/miccaiif/top

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The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification

https://github.com/mikelu-shanghai/CrackIdentificationEvaluation-via-DeepLearning

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Evaluation and Comparison of Deep Learning Methods for Pavement Crack Identification with Visual Images

https://github.com/mikigom/DNPL-PyTorch

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On the Power of Deep but Naive Partial Label Learning

https://github.com/missu-hh/exact

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Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation

https://github.com/mostafa-ghazi/fast-aid-brain

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FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain

https://github.com/mostafa-ghazi/mri-augmentation

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FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain

https://github.com/mustansarfiaz/ddam-ps

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DDAM-PS: Diligent Domain Adaptive Mixer for Person Search

https://github.com/nadiasaeed/medifact-m3g-mediqa-2024

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MediFact at MEDIQA-M3G 2024: Medical Question Answering in Dermatology with Multimodal Learning

https://github.com/nec-research/picps-ml4sci

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Physics-Informed Weakly Supervised Learning for Interatomic Potentials

https://github.com/networkslab/baggraph

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Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks

https://github.com/neukg/kat-tslf

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A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation

https://github.com/novestars/neural-pre-processing

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Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing

https://github.com/ntucllab/climage_dataset

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CLImage: Human-Annotated Datasets for Complementary-Label Learning

https://github.com/ntucllab/complementary_cifar

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CLImage: Human-Annotated Datasets for Complementary-Label Learning

https://github.com/ntucllab/libcll

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libcll: an Extendable Python Toolkit for Complementary-Label Learning

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