A study on the interpretability of the concepts learned by Prototypical Part Networks (ProtoPNets) on the CUB200-2011 and CelebAMask datasets.
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Updated
Mar 4, 2023 - Python
A study on the interpretability of the concepts learned by Prototypical Part Networks (ProtoPNets) on the CUB200-2011 and CelebAMask datasets.
Research for text-to-image synthesis via modified auxiliary classifier GANs. Incremental modification of model architecture for improved results, fully documented.
Replication of DeCAF paper's experiments for transfer learning
pytorch STN implement for CUB200 dataset
PyTorch implementation for "Gated Transfer Network for Transfer Learning"
Explores jigsaw puzzles solvinig as pre-text task for fine grained classification for bird species identification (Implemented with pyTorch)
Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.
Hardness-Aware Deep Metric Learning (CVPR2019) in pytorch
(ICCV 2019) This repo contains code for "MIC: Mining Interclass Characteristics for Improved Metric Learning", which proposes an auxiliary training task to explain away intra-class variations.
PartCraft: Crafting Creative Objects by Parts (ECCV2024)
Comparison of famous convolutional neural network models
PyTorch Implementation for Deep Metric Learning Pipelines
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