More and better Transforms

Changes

New transforms

• Add PhaseShift Transform (#1714) by @pearguacamole
• Add FDATransform (#1734) by @vectorvp

Switch to version-independent torchvision transforms.

• If torchvision transforms v2 are available, they are used. Otherwise torchvision transforms v1 are used. For details see this comment.
• Add Transform for DetCon + MultiViewTransformV2 for torchvision.transforms.v2 (#1737)

Typing, naming & docstring improvements

• Type data/_utils (#1740), data/_helpers (#1742) and tests/models (#1744) by @vectorvp
• Cleanup: docstrings in the lightly/data subpackage (#1741) by @ChiragAgg5k
• Refactor: Update naming and remove unused package from AmplitudeRescaleTransform (#1732) by @vectorvp

Other

• Fix DINOProjectionHead BatchNorm Handling (#1729)
• Add masked average pooling for pooling with segmentation masks (DetCon)(#1739)

Many thanks to all of our contributors!

Models

• AIM: Scalable Pre-training of Large Autoregressive Image Models
• Barlow Twins: Self-Supervised Learning via Redundancy Reduction, 2021
• Bootstrap your own latent: A new approach to self-supervised Learning, 2020
• DCL: Decoupled Contrastive Learning, 2021
• DenseCL: Dense Contrastive Learning for Self-Supervised Visual Pre-Training, 2021
• DINO: Emerging Properties in Self-Supervised Vision Transformers, 2021
• FastSiam: Resource-Efficient Self-supervised Learning on a Single GPU, 2022
• I-JEPA: Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture, 2023
• MAE: Masked Autoencoders Are Scalable Vision Learners, 2021
• MSN: Masked Siamese Networks for Label-Efficient Learning, 2022
• MoCo: Momentum Contrast for Unsupervised Visual Representation Learning, 2019
• NNCLR: Nearest-Neighbor Contrastive Learning of Visual Representations, 2021
• PMSN: Prior Matching for Siamese Networks, 2022
• SimCLR: A Simple Framework for Contrastive Learning of Visual Representations, 2020
• SimMIM: A Simple Framework for Masked Image Modeling, 2021
• SimSiam: Exploring Simple Siamese Representation Learning, 2020
• SMoG: Unsupervised Visual Representation Learning by Synchronous Momentum Grouping, 2022
• SwAV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments, M. Caron, 2020
• TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning, 2022
• VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning, Bardes, A. et. al, 2022
• VICRegL: VICRegL: Self-Supervised Learning of Local Visual Features, 2022