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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/dongchen06/label-efficient-in-agriculture

공식 코드

Label-Efficient Learning in Agriculture: A Comprehensive Review

https://github.com/dsam99/label_propagation_weak_supervision

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Label Propagation with Weak Supervision

https://github.com/dsam99/lol

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Losses over Labels: Weakly Supervised Learning via Direct Loss Construction

https://github.com/e-bug/weak-relation-vlm

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Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining

https://github.com/edgeslab/vaping

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Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions

https://github.com/edsonbollis/Citrus-Pest-Benchmark

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Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark

https://github.com/edsonbollis/Weakly-Supervised-Learning-Citrus-Pest-Benchmark

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Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark

https://github.com/evelinehong/LBF

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Learning by Fixing: Solving Math Word Problems with Weak Supervision

https://github.com/facebookresearch/SWAG

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Revisiting Weakly Supervised Pre-Training of Visual Perception Models

https://github.com/fawnliu/tris

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Referring Image Segmentation Using Text Supervision

https://github.com/felipemaiapolo/wsbounds

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Weak Supervision Performance Evaluation via Partial Identification

https://github.com/funkelab/linajea

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Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages

https://github.com/gangmingzhao/tb-attribute-weak-localization

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Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

https://github.com/gatsby-sahani/rpm-aistats-2023

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Unsupervised representation learning with recognition-parametrised probabilistic models

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

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Weakly supervised segmentation with cross-modality equivariant constraints

https://github.com/georg-wolflein/histaug

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Benchmarking Pathology Feature Extractors for Whole Slide Image Classification

https://github.com/gmum/propml

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ProPML: Probability Partial Multi-label Learning

https://github.com/guoshengcv/CurriculumNet

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CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images

https://github.com/gvalvano/multiscale-adversarial-attention-gates

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Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates

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

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

https://github.com/hadung2002/visolex

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ViSoLex: An Open-Source Repository for Vietnamese Social Media Lexical Normalization

https://github.com/haruohosoya/cigmo

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CIGMO: Categorical invariant representations in a deep generative framework

https://github.com/hbilen/WSDDN

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Weakly Supervised Deep Detection Networks

https://github.com/hbzju/solar

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SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning

https://github.com/he-lingfeng/roi-extraction

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Weakly-supervised ROI extraction method based on contrastive learning for remote sensing images

https://github.com/hellock/documentary-learning

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Discover and Learn New Objects from Documentaries

https://github.com/hhhhhhao/general-framework-weak-supervision

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A General Framework for Learning from Weak Supervision

https://github.com/hilab-git/pa-seg

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PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation

https://github.com/hongxin001/JoCoR

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Combating noisy labels by agreement: A joint training method with co-regularization

https://github.com/hongxin001/ODNL

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Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

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/hujiayu1223/PLLAC-project

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An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes

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

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Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training

https://github.com/hustvl/weaktr

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WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation

https://github.com/ieee8023/covid-chestxray-dataset

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BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset

https://github.com/inkiinki/mi-uap

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Interpreting Vulnerabilities of Multi-Instance Learning to Adversarial Perturbations

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