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Top 35 weakly-supervised-learning open source projects

WeSTClass
[CIKM 2018] Weakly-Supervised Neural Text Classification
WSCNNTDSaliency
[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator
RIB
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021)
WeFEND-AAAI20
Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
HiGitClass
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)
ASTRA
Self-training with Weak Supervision (NAACL 2021)
GAL-fWSD
Generative Adversarial Learning Towards Fast Weakly Supervised Detection
MetaCat
Minimally Supervised Categorization of Text with Metadata (SIGIR'20)
Learning-Action-Completeness-from-Points
Official Pytorch Implementation of 'Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization' (ICCV-21 Oral)
TS-CAM
Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.
Simple-does-it-weakly-supervised-instance-and-semantic-segmentation
Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
Awesome-Weak-Shot-Learning
A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.
deviation-network
Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection
SPML
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
knodle
A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.
C2C
Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
WSDEC
Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.
Learning-From-Rules
Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
WSL4MIS
Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.
RSC-Net
Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021
MCIS wsss
Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
1-35 of 35 weakly-supervised-learning projects