Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
-
Updated
Apr 29, 2024 - Python
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
Code for ALBEF: a new vision-language pre-training method
Weakly Supervised Learning for Findings Detection in Medical Images
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].
PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017
[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach
Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)
A curated (most recent) list of resources for Learning with Noisy Labels
Weakly Supervised Deep Detection Networks (CVPR 2016)
Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection, semi-supervised anomaly detection
Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
Caffe codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".
Weakly Supervised Action Recognition and Detection
[ICIP 2021] Puzzle-CAM: Improved localization via matching partial and full features.
Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)
Weakly-supervised object detection.
Official code for "Object counting and instance segmentation with image-level supervision", in CVPR 2019 and TPAMI 2020
Add a description, image, and links to the weakly-supervised-learning topic page so that developers can more easily learn about it.
To associate your repository with the weakly-supervised-learning topic, visit your repo's landing page and select "manage topics."