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Hacettepe University, Department of Electrical and Electronics Engineering
- Ankara, Turkey
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Canli izle live TV Collection of 1000+ publicly available IPTV channels from all over the world
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"