PyTorch Implementation for Deep Metric Learning Pipelines

(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.

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

PyTorch implementation for "Gated Transfer Network for Transfer Learning"

Replication of DeCAF paper's experiments for transfer learning

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