macaodha / inat_comp_2018
CNN training code for iNaturalist 2018 image classification competition
☆83Updated last year
Alternatives and similar repositories for inat_comp_2018:
Users that are interested in inat_comp_2018 are comparing it to the libraries listed below
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆88Updated 6 years ago
- Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018☆195Updated 6 years ago
- Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"☆173Updated 6 years ago
- Train and evaluate VOC 2007 / 2012 image classification models. We used this code to evaluate several feature learning algorithms.☆48Updated 8 years ago
- A PyTorch implementation of shake-shake☆111Updated 4 years ago
- PyTorch implementation of "Soft Proposal Networks for Weakly Supervised Object Localization", ICCV 2017.☆211Updated 6 years ago
- Some projects from Xuanyi Dong.☆90Updated 6 months ago
- ☆66Updated 3 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆119Updated 4 years ago
- Joint Optimization Framework for Learning with Noisy Labels☆45Updated 6 years ago
- Minimal API for receptive field calculation in PyTorch☆67Updated 2 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆216Updated 5 years ago
- Auto-Encoding Transformations (AETv1), CVPR 2019☆108Updated 5 years ago
- ☆144Updated 3 years ago
- Improving Generalization via Scalable Neighborhood Component Analysis☆137Updated last year
- Code for 'Low-Shot Learning with Imprinted Weights'☆68Updated 6 years ago
- Official code for paper Context-aware Zero-shot Recognition (https://arxiv.org/abs/1904.09320 to appear at AAAI2020)☆58Updated 5 years ago
- Code repository for the VisDA-17 experiments in our paper 'Self-ensembling for Domain Adaptation'☆74Updated 3 years ago
- Few-Shot Image Recognition by Predicting Parameters from Activations☆110Updated 6 years ago
- Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products☆65Updated 3 years ago
- Group Normalization in PyTorch☆109Updated 6 years ago
- Convert resnet trained in caffe to pytorch model. (group norm resnet is provided too)☆231Updated 5 years ago
- ☆69Updated 3 years ago
- Semi-supervised ImageNet1K models☆243Updated 5 years ago
- CVPR 2018 Hierarchical Novelty Detection for Visual Object Recognition☆38Updated 6 years ago
- Semi-Supervised Fine-Grained Recognition Challenge at FGVC7☆30Updated 2 years ago
- BlockDrop: Dynamic Inference Paths in Residual Networks☆142Updated 2 years ago
- Pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494 (Following the PyTorch Style)☆87Updated 6 years ago
- The saliency-based is a distortion layer for convolutional neural networks that helps to improve the spatial sampling of input data for a…☆163Updated 6 years ago
- Few-Shot Learning with Localization in Realistic Settings☆47Updated last year