Vins1805 / cnn-fine-grained-image-recognitionLinks
Learning Multi-Attention Convolutional Neural Network for Fine-GrainedImage Recognition
☆10Updated 4 years ago
Alternatives and similar repositories for cnn-fine-grained-image-recognition
Users that are interested in cnn-fine-grained-image-recognition are comparing it to the libraries listed below
Sorting:
- Progressive Co-Attention Network for Fine-Grained Visual Classification☆32Updated 4 years ago
- Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)☆60Updated last year
- Code release for the paper BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. (TIP2020)☆48Updated 4 years ago
- Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification (TIP2021)☆47Updated 10 months ago
- PyTorch implementation of Deep Semantic Dictionary Learning for Multi-label Image Classification, AAAI 2021.☆48Updated 3 years ago
- accepted at ICCV 2021☆21Updated 3 months ago
- ☆27Updated 2 years ago
- Multi-Headed Self-Attention via Vision Transformer for Zero-Shot Learning (ViT-ZSL)☆33Updated 3 years ago
- pytorch implementation of Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes☆26Updated 5 years ago
- [TIP] Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition☆45Updated 2 years ago
- Official implementation of "Fine-Grained Object Classification via Self-Supervised Pose Alignment".☆24Updated 3 years ago
- ☆28Updated 2 years ago
- ☆15Updated 4 years ago
- This repository contains the code for Instance Credibility Inference (ICI).☆84Updated 3 years ago
- This is a PyTorch implementation of the paper "Attribute Prototype Network for Zero-Shot Learning".☆72Updated 2 years ago
- Official PyTorch Implementation of MSDN (CVPR'22)☆53Updated 2 years ago
- Learning Intact Features by Erasing-Inpainting for Few-shot Classification☆18Updated 2 years ago
- ☆42Updated 3 years ago
- ☆81Updated 3 years ago
- Code for "Associative alignment for few-shot image classification"- ECCV'2020.☆20Updated 4 years ago
- ☆18Updated 3 years ago
- ☆15Updated 3 years ago
- Pytorch implementation of "ICCV2019-Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization"☆26Updated 5 years ago
- Pytorch version of model in NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"☆21Updated 5 years ago
- ☆25Updated last year
- RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition☆12Updated 3 years ago
- Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".☆32Updated 3 years ago
- Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics. In CVPR, 2020.☆15Updated 4 years ago
- Repository for the paper : Meta-FDMixup: Cross-Domain Few-Shot Learning Guided byLabeled Target Data☆67Updated this week
- This repo contains codes for Learning a Few-shot Embedding Model with Contrastive Learning(AAAI2021)☆62Updated 4 years ago