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Repo for spaCy Turkish model development.

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

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

PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)

[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"

An unofficial Implementation of ACNet based on PyTorch.

This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Ba…

DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition (IEEE TIP 2021)

Pytorch implementation of "ICCV2019-Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization"

Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"

Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)

A PyTorch implementation of WS-DAN (Weakly Supervised Data Augmentation Network) for FGVC (Fine-Grained Visual Classification)

Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)

Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification (TIP2021)

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020

This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

Trilinear Attention Sampling Network for Fine-grained Image Recognition

Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)

PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017

Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-

pyTorch implementation of Spectral Normalization for Generative Adversarial Networks

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

A curated list of awesome anomaly detection resources

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Improved WGAN in Pytorch