batchboost is a variation on MixUp that instead of mixing just two images, mixes many images together.
☆44Jan 26, 2020Updated 6 years ago
Alternatives and similar repositories for batchboost
Users that are interested in batchboost are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Cleaned up reference implementation of BIER: Boosting Independent Embeddings Robustly.☆39Feb 21, 2018Updated 8 years ago
- Code for BlockSwap (ICLR 2020).☆33Mar 25, 2021Updated 5 years ago
- AutoGluon Docker☆12Apr 17, 2020Updated 6 years ago
- ☆10May 9, 2019Updated 7 years ago
- Determinantal Point Processes in Julia☆12Feb 20, 2020Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆33Jul 19, 2024Updated 2 years ago
- Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification☆82Jun 9, 2021Updated 5 years ago
- A simple and effective feature alignment method with proposed anchor loss for person re-identification☆15Aug 18, 2020Updated 6 years ago
- ☆16Oct 19, 2019Updated 6 years ago
- Artifact for IPDPS'21: DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions.☆13Apr 6, 2021Updated 5 years ago
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Mar 29, 2022Updated 4 years ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆47Nov 6, 2022Updated 3 years ago
- Implementation of Deep Soft-K means☆29Apr 28, 2021Updated 5 years ago
- Deep learning model for query auto-correction in mixed script☆15Mar 28, 2018Updated 8 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code release for Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation (TCSVT 2023)☆25Oct 20, 2023Updated 2 years ago
- An implementation of shampoo☆79Mar 9, 2018Updated 8 years ago
- Code release for NeurIPS 2020 paper "Stochastic Normalization"☆22Apr 27, 2022Updated 4 years ago
- ☆12Mar 16, 2022Updated 4 years ago
- Domain-Adaptive Multibranch Networks☆14Nov 7, 2020Updated 5 years ago
- Automated Steel Bar Counting and Center Localization with Convolutional Neural Networks☆34May 16, 2019Updated 7 years ago
- Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?☆11Jan 3, 2019Updated 7 years ago
- PyTorch Implementation for DR Loss☆110Dec 19, 2023Updated 2 years ago
- Implementing FastSent in theano☆12May 2, 2016Updated 10 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Content for cloud computing workshop☆15Apr 20, 2018Updated 8 years ago
- ☆229Mar 1, 2019Updated 7 years ago
- Implementation of "Anchor Loss: Modulating loss scale based on prediction difficulty"☆53May 3, 2021Updated 5 years ago
- Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"☆105Jan 20, 2020Updated 6 years ago
- ☆13Nov 12, 2018Updated 7 years ago
- Code for Switchable Whitening (ICCV2019)☆137Dec 18, 2019Updated 6 years ago
- Filter Response Normalization Layer in PyTorch☆121Feb 3, 2020Updated 6 years ago
- A PyTorch Implementation of Feature Boosting and Suppression☆18Sep 14, 2020Updated 6 years ago
- ☆16Nov 20, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)☆25Apr 21, 2021Updated 5 years ago
- Fastai resources☆21Oct 28, 2019Updated 6 years ago
- ☆103Sep 23, 2022Updated 3 years ago
- PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.☆218Feb 14, 2024Updated 2 years ago
- This research is carried out to find the necessity of fully connected (FC) layers in CNN for image classification.☆14Jan 21, 2020Updated 6 years ago
- ☆16Jul 17, 2026Updated 2 months ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆595Jul 29, 2020Updated 6 years ago