40 Open source projects that are alternatives of or similar to ASTRA

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.

Weakly supervised medical named entity classification

Weakly Supervised End-to-End Learning (NeurIPS 2021)

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

WRENCH: Weak supeRvision bENCHmark

Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.

[TPAMI Special Issue on ICCV 2021 Best Papers, Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos

Generative Adversarial Learning Towards Fast Weakly Supervised Detection

Minimally Supervised Categorization of Text with Metadata (SIGIR'20)

Official Pytorch Implementation of 'Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization' (ICCV-21 Oral)

Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

SPEAR: Programmatically label and build training data quickly.

A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.

No description or website provided.

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization

Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.

[AAAI 2019] Weakly-Supervised Hierarchical Text Classification

Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.

A curated (most recent) list of resources for Learning with Noisy Labels

Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021

The Official PyTorch Implementation of DiscoBox.

Automatically labeling training data

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

A system for quickly generating training data with weak supervision

A curated list of programmatic weak supervision papers and resources

Framework to learn Named Entity Recognition models without labelled data using weak supervision.

Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN architecture (DenseVNet, 3D Residual U-Net).

[CIKM 2018] Weakly-Supervised Neural Text Classification

[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator

(Machine) Learning to Do More with Less

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021)

A curated publication list on weakly-supervised temporal action localization

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)