PyTorch implementation for "Gated Transfer Network for Transfer Learning"

Research for text-to-image synthesis via modified auxiliary classifier GANs. Incremental modification of model architecture for improved results, fully documented.

A study on the interpretability of the concepts learned by Prototypical Part Networks (ProtoPNets) on the CUB200-2011 and CelebAMask datasets.

pytorch STN implement for CUB200 dataset

[ECCV2024] PartCraft: Crafting Creative Objects by Parts

Replication of DeCAF paper's experiments for transfer learning

Explores jigsaw puzzles solvinig as pre-text task for fine grained classification for bird species identification (Implemented with 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.

Hardness-Aware Deep Metric Learning (CVPR2019) in pytorch

Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.

Comparison of famous convolutional neural network models

PyTorch Implementation for Deep Metric Learning Pipelines