visipedia / inat_compLinks
iNaturalist competition details
☆774Updated 4 years ago
Alternatives and similar repositories for inat_comp
Users that are interested in inat_comp are comparing it to the libraries listed below
Sorting:
- Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features☆310Updated 3 years ago
- CNN training code for iNaturalist 2018 image classification competition☆85Updated last year
- iWildCam competition details☆144Updated 8 months ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆866Updated 2 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆586Updated 3 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆989Updated 3 weeks ago
- 3.8% and 18.3% on CIFAR-10 and CIFAR-100☆1,308Updated 5 years ago
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,042Updated 3 years ago
- ☆328Updated 2 months ago
- ☆518Updated last year
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆761Updated 4 years ago
- Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.☆448Updated 6 years ago
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆541Updated 11 months ago
- A dataset of datasets for learning to learn from few examples☆785Updated last year
- Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improv…☆798Updated 2 years ago
- Semi-supervised ImageNet1K models☆244Updated 5 years ago
- Wide Residual Networks (WideResNets) in PyTorch☆340Updated 4 years ago
- Python API for LVIS Dataset☆421Updated last year
- A library for ML benchmarking. It's powerful.☆439Updated last year
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆400Updated 4 years ago
- Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018☆195Updated 6 years ago
- Fine-tune pretrained Convolutional Neural Networks with PyTorch☆723Updated 10 months ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆550Updated 5 years ago
- Code for the paper "On First-Order Meta-Learning Algorithms"☆1,015Updated 2 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆459Updated 5 years ago
- Pretrained bag-of-local-features neural networks☆313Updated 5 years ago
- Omniglot data set for one-shot learning☆1,386Updated 2 years ago
- A simple and effective method for detecting out-of-distribution images in neural networks.☆536Updated 3 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆612Updated 3 years ago
- Deep Metric Learning☆782Updated 4 years ago