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BAL: Balancing Diversity and Novelty for Active Learning - Official Pytorch Implementation

[WACV2024] Official PyTorch implimentation for ``Active Transfer Learning for Efficient Video-Specific Human Pose Estimation''

Official PyTorch Implementation for Active Prompt Learning in Vision Language Models

PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Learning Loss for Active Learning Pytorch Implementation,(reproduction)

Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Bayesian-Active-Learning/))

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

Official Pytorch implementation for the paper titled "Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation" presented on ICLR 2023.

Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).