houxingxing / Multi-Criteria-Active-Deep-Learning-for-Image-ClassificationLinks
Multi-Criteria Active Deep Learning for Image Classification
☆10Updated 6 years ago
Alternatives and similar repositories for Multi-Criteria-Active-Deep-Learning-for-Image-Classification
Users that are interested in Multi-Criteria-Active-Deep-Learning-for-Image-Classification are comparing it to the libraries listed below
Sorting:
- Comparing active learning, semi-supervised learning and combination of them on deep learning.☆14Updated 7 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆272Updated 6 years ago
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆219Updated 4 years ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆203Updated 5 years ago
- Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper☆35Updated 6 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆230Updated last year
- ☆24Updated 5 years ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆181Updated last year
- An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy da…☆55Updated 6 years ago
- Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)☆174Updated 3 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆88Updated 3 years ago
- A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)☆23Updated 4 years ago
- Deep Active Learning☆837Updated 2 years ago
- Implementation of Deep Bayesian Active Learning with Image Data with modAL (python module for Active Learning)☆26Updated 6 years ago
- Adversarial Active Learning for Deep Networks☆14Updated 6 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆241Updated last year
- An implementation of the state-of-the-art Deep Active Learning algorithms☆103Updated last year
- Active learning for deep object detection using YOLO☆55Updated 4 years ago
- The official implementation of CALD: Consistency-basd Active Learning for Object Detection☆83Updated last year
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆90Updated 3 years ago
- ☆15Updated 4 years ago
- [5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow…☆128Updated 5 years ago
- Code for research paper "Learning a Neural Network based Representation for Open Set Recognition" M. Hassen, P. K. Chan☆26Updated 5 years ago
- Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings☆85Updated 4 years ago
- ALBench Leaderboard for active learning in object detection☆15Updated 2 years ago
- 东南大学杨冠羽教授的缺陷布料检测项目☆12Updated 6 years ago
- Awesome Active Learning Paper List☆141Updated last year
- Code for Multiple Instance Active Learning for Object Detection, CVPR 2021☆340Updated 2 years ago
- A list of active learning methods for deep learning.☆63Updated last year
- An implementation of the BADGE batch active learning algorithm.☆207Updated last year