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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/YudeWang/SSENet-pytorch

공식 코드

Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation

https://github.com/YunChunChen/MaCoSNet-pytorch

공식 코드

Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation

https://github.com/Zengyi-Qin/Weakly-Supervised-3D-Object-Detection

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Weakly Supervised 3D Object Detection from Point Clouds

https://github.com/a610lab/WAL-Net

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WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification

https://github.com/abhijeetptl5/historoi

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Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training

https://github.com/akash2907/semi-sup-active-learning

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Semi-supervised Active Learning for Video Action Detection

https://github.com/akhilpm/semiwsod

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Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes

https://github.com/alexanderrichard/squirrel

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Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling

https://github.com/ali-stanford/physicsinformedpointnetelasticity

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Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity

https://github.com/alirezazareian/vspnet

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Weakly Supervised Visual Semantic Parsing

https://github.com/andst/sepll

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SepLL: Separating Latent Class Labels from Weak Supervision Noise

https://github.com/ankitshah009/WALNet-Weak_Label_Analysis

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A Closer Look at Weak Label Learning for Audio Events

https://github.com/anpc849/QMaxViT-Unet

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QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images

https://github.com/apple/ml-all-pairs

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A New Benchmark and Progress Toward Improved Weakly Supervised Learning

https://github.com/arneschmidt/attention_gp

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Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning

https://github.com/baldassarreFe/ws-vrd

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Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks

https://github.com/bcmi/Awesome-Weak-Shot-Learning

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Weak Novel Categories without Tears: A Survey on Weak-Shot Learning

https://github.com/benedictstar/Joint-VAD

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Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection

https://github.com/beneroth13/dinov2

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Low-resource finetuning of foundation models beats state-of-the-art in histopathology

https://github.com/biomedical-data-analysis-laboratory/histoprognostics

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Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images

https://github.com/brunompacheco/early-fixing-oil-production

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Deep-learning-based Early Fixing for Gas-lifted Oil Production Optimization: Supervised and Weakly-supervised Approaches

https://github.com/bzhanguru/paper_class-m

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CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification

https://github.com/carrierlxk/MuG

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Learning Video Object Segmentation from Unlabeled Videos

https://github.com/cgalaz01/aladdin_cmr_la

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High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D Cine MRI using Online Learning Neural Networks

https://github.com/chengtan9907/Hyperspherical-Consistency-Regularization

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Hyperspherical Consistency Regularization

https://github.com/chongqingnosubway/dgr-mil

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DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification

https://github.com/chongqingnosubway/pdl

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PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers

https://github.com/chunyuanY/FakeNewsDetection

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Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning

https://github.com/correr-zhou/spml-acktheunknown

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Acknowledging the Unknown for Multi-label Learning with Single Positive Labels

https://github.com/crisie/udiva

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Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios

https://github.com/cv-rits/coarse3d

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COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation

https://github.com/cviu-csu/tct-infonce

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An efficient framework based on large foundation model for cervical cytopathology whole slide image screening

https://github.com/davidstutz/ijcv2018-improved-shape-completion

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Learning 3D Shape Completion under Weak Supervision

https://github.com/ddrrnn123/cacl

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CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns

https://github.com/developfeng/BCM

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Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation

https://github.com/dgrahn/deep-mil

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mil-benchmarks: Standardized Evaluation of Deep Multiple-Instance Learning Techniques

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