Active Deep Learning for Medical Imaging Segmentation

[CVPR 2022 Oral] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2111.12940

[CVPR'20] Implementation for the paper "ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation"

Active fire detection and segmentation with CNN

Code for the paper "Reinforced Active Learning for Image Segmentation"

Official repository for Active Boundary Loss for Semantic Segmentation.

An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.

Some matlab code of Active Contour Model for image segmentation

Unsupervised instance segmentation via active robot interaction

Official PyTorch implementation of "Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network"

Software for the paper "Fast and robust active neuron segmentation in two-photon calcium imaging using spatio-temporal deep learning," Proceedings of the National Academy of Sciences (PNAS), 2019.

(TMI-2024) Source-Free Active Domain Adaptation (SFADA) for GTV Segmentation across Multiple Hospitals

Multi-Anchor Active Domain Adaptation for Semantic Segmentation (ICCV 2021 Oral)

🍀 Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu et al. ICCV 2021."

Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)

Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation

Implementation of ECCV2022 paper - LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation

Official Repository for Deep Active Lesion Segmentation (DALS)

[NeurIPS 2023] Official Implementation of A Generic Active Learning Baseline for LiDAR Semantic Segmentation

Python template project for segmentation of teeth for use in forensic investigations

Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"

Official implementation of "Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation. Xu et al. ICCV 2023."

[ICCV-23] Official implementation of SeedAL for seeding active learning for 3D semantic segmentation

Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing

Official PyTorch implementation of the ICML 2024 paper "Hyperbolic Active Learning for Semantic Segmentation under Domain Shift"

Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation

🍀 Official pytorch implementation of "D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation. Wu et al. ECCV 2022."

Active Learning for Improved Semi Supervised Semantic Segmentation in Satellite Images

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