Active Learning for Keypoint Detection and New API Workflows

Active Learning for Keypoint Detection and New API Workflows

Active Learning: Keypoint Detection

#707 added an active learning scorer for keypoint detection. This means that you can now do active learning for keypoint detection with Lightly!

New API Workflows

With #712 and #714 we added all the necessities to configure and run the compute worker from your Python code.

Access Shared Datasets

#722 makes it possible to access datasets which were shared with you in the Lightly web-app from your Python code as if they were your own.

Documentation

We made many smaller changes and fixes in the docs 🙂

Models

• Bootstrap your own latent: A new approach to self-supervised Learning, 2020
• Barlow Twins: Self-Supervised Learning via Redundancy Reduction, 2021
• DINO: Emerging Properties in Self-Supervised Vision Transformers, 2021
• SimSiam: Exploring Simple Siamese Representation Learning, 2020
• MoCo: Momentum Contrast for Unsupervised Visual Representation Learning, 2019
• SimCLR: A Simple Framework for Contrastive Learning of Visual Representations, 2020
• NNCLR: Nearest-Neighbor Contrastive Learning of Visual Representations, 2021
• SwAV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments, M. Caron, 2020