w4k2 / torchosr
The torchosr module is a set of tools for Open Set Recognition in Python, compatible with PyTorch library.
☆12Updated last month
Alternatives and similar repositories for torchosr:
Users that are interested in torchosr are comparing it to the libraries listed below
- Implementation of Open-Set Likelihood Maximization for Few-Shot Learning☆41Updated last year
- Code for Class Anchor Clustering loss for training a distance-based open set classifier☆71Updated 2 years ago
- ☆17Updated last year
- This repository focuses on the problem of Zero-Shot Open-Set Recognition (ZS-OSR), which aims to accurately classify samples from unseen…☆11Updated last year
- [TPAMI2022] Class Specific Semantic Reconstruction for Open Set Recognition☆46Updated last year
- A simple training/evaluation code of open set recognition using OpenMax (https://arxiv.org/abs/1511.06233)☆55Updated 7 years ago
- Try Openmax with MNIST Fashion dataset☆11Updated 6 years ago
- ☆14Updated last year
- Code release for Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation (TCSVT 2023)☆22Updated last year
- ☆21Updated 2 years ago
- ☆16Updated 3 years ago
- ☆37Updated 4 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆90Updated 3 years ago
- Code for CVPR2020 paper: Conditional Gaussian Distribution Learning for Open Set Recognition☆39Updated 4 years ago
- Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation☆25Updated 4 years ago
- ICCV2021 - training a post-hoc lightweight GAN-discriminator for open-set recognition☆131Updated 2 years ago
- Open-set Recognition with Adversarial Autoencoders☆37Updated 6 years ago
- Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ba…☆45Updated 2 years ago
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆27Updated 2 years ago
- Implementation of "Dual Mixup Regularized Learning for Adversarial Domain Adaptation" in Pytorch☆13Updated 4 years ago
- [TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition☆168Updated last year
- PyTorch implementation for "Classification-Reconstruction Learning for Open-Set Recognition" CVPR 2019.☆52Updated 3 years ago
- Code for 'Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning'☆39Updated 3 years ago
- Open set domain adaptation code DAOD☆26Updated 3 years ago
- Hyperspherical classification for Multi-source Open-Set domain adaptation☆31Updated 3 years ago
- [CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition☆40Updated last year
- Learning from Limited and Imperfect Data (L2ID): Classification Challenges☆18Updated 4 years ago
- [AAAI2024] Exploring Diverse Representations for Open Set Recognition☆23Updated 10 months ago
- ☆26Updated 3 years ago
- This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.☆51Updated 6 years ago