This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
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Updated
Nov 23, 2018 - Python
This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
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).
👗3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective👗 Single-View 3D Reconstruction
A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.
A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.
An implementation of Contrastive Loss in PyTorch using Siamese Networks
Official implementation of POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples (NeurIPS 2021)
Course project for programming in AI 22fall (Peking university)
Keras Custom Layers of AdaCos and ArcFace contains experiments in caltech birds 2011(CUB-200-2011).
Image Classification Training Framework for Network Distillation
Intelligent algorithm for selecting suitable training classes for zero-shot object recognition that capture domain diversity and rarity
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