44 Open source projects that are alternatives of or similar to C2C

Weakly supervised medical named entity classification

Cytomine-Core is the main web server implementing the Cytomine API

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

[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.

An open source online platform for collaborative image labeling of almost everything

Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

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

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

AI-based pathology predicts origins for cancers of unknown primary - Nature

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

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.

WRENCH: Weak supeRvision bENCHmark

Automatically labeling training data

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

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

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

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

Self-training with Weak Supervision (NAACL 2021)

[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).

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

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.

Digital Pathology Whole Slide Image Analysis Toolbox

A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.

a browser-based DICOM viewer

Extension to QuPath application adding support for reading from Google Cloud Healthcare API.

Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.