v0.0.4

1. [New feature] Activation loader for all supported networks/layers.
2. [Bug fixes] Fixed the models whose outputs are not a tensor and are dictionary or named tuple (e.g., GoogLeNet, Inception-V3 and segmentation models).
3. [Bug fixe] Fixed minor bugs detected by unit tests.

v0.0.3

1. Added odd-one-out paradigm (generic for any number of images).
   • Merging strategy concatenation or difference.
2. Added MaxVits and SwinTransformers
3. FeatureExtractor class.
4. Fixed the bug with mobilenet family.

v0.0.2

1. Extracting features from the following pretrained models:
   • All classification and segmentation networks from PyTorch's official website.
   • All OpenAI CLIP language-vision models.
   • All Taskonomy networks.
2. Reading out the network's feature at any depth (layer).
3. Supporting both convolution and transformer architectures.
4. Adding a linear classifier on top of the frozen pretrained networks.
5. Generic shape appearance dataset to train linear classifiers.
6. Psychophysical paradigms:
   • Two-alternative-forced-choice (2AFC).
   • Staircase procedure.