cub-200-2011 topic

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

songdejia

This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).

ZF4444

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

ahmdtaha

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

ecm200

:dress:3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective:dress: Single-View 3D Reconstruction

layumi

Official implementation of POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples (NeurIPS 2021)

lehduong

Collection of Python tutorials on computer vision accompanying the “Bird by Bird Tech” series of articles.

slipnitskaya

An implementation of Contrastive Loss in PyTorch using Siamese Networks

HarshSulakhe