Code for Multiple Instance Active Learning for Object Detection, CVPR 2021
-
Updated
Apr 21, 2023 - Python
Code for Multiple Instance Active Learning for Object Detection, CVPR 2021
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
The pytorch implementation of the Min-Entropy Latent Model for Weakly Supervised Object Detection
Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
Multiple instance learning library for Python
Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
MICCAI2022: Multiple Instance Learning with Mixed Supervision in Gleason Grading.
WSI classification
MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"
Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.
The implementation of CDMI-Net in Paper - Deep Multiple Instance Learning for Landslide Mapping
[IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification
[MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
This repo provides an exhaustive pipeline of processing TCGA whole-slide images for downstream multiple instance learning.
Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch
Classification of the MNIST dataset using various Deep Learning techniques
Microsatellite Instability Classification using Multiple Instance Learning
Add a description, image, and links to the multiple-instance-learning topic page so that developers can more easily learn about it.
To associate your repository with the multiple-instance-learning topic, visit your repo's landing page and select "manage topics."