Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
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Updated
Sep 11, 2024 - Python
Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021)
A Python and OpenCV implementation of Image Stitching using Brute Force Matcher and ORB feature descriptures.
Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
Towards a rotationally invariant convolutional layer
Perception Modelling by Invariant Representation of Deep Learning for Automated Structural Diagnostic in Aircraft Maintenance: A Study Case using DeepSHM
Demonstration of sift algorithm to track objects and observing the effect of each parameter on performance.
Transform-Invariant Non-Negative Matrix Factorization
Carloni, G., Tsaftaris, S. A., & Colantonio, S. (2024). CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning @ MICCAI 2024 UNSURE Workshop
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