Vastlab / vastLinks
A repository for some common operations for everyone
☆16Updated last year
Alternatives and similar repositories for vast
Users that are interested in vast are comparing it to the libraries listed below
Sorting:
- A simple training/evaluation code of open set recognition using OpenMax (https://arxiv.org/abs/1511.06233)☆56Updated 7 years ago
- PyTorch implementation for "Classification-Reconstruction Learning for Open-Set Recognition" CVPR 2019.☆52Updated 3 years ago
- Open-set Recognition with Adversarial Autoencoders☆38Updated 6 years ago
- Code for CVPR2020 paper: Conditional Gaussian Distribution Learning for Open Set Recognition☆39Updated 5 years ago
- Code for Class Anchor Clustering loss for training a distance-based open set classifier☆71Updated 2 years ago
- Open set domain adaptation code DAOD☆26Updated 3 years ago
- ☆10Updated last year
- ☆51Updated 10 years ago
- Open Set Recognition☆161Updated 3 years ago
- [TPAMI2022] Class Specific Semantic Reconstruction for Open Set Recognition☆47Updated last year
- Implementation of the OS-ROCKET algorithm for open set recognition for time series classifciation☆7Updated 3 years ago
- ☆17Updated last year
- Keras implementation for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016☆82Updated 2 years ago
- [TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition☆170Updated 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
- ☆15Updated 6 years ago
- An OpenSet algorithm.☆12Updated 4 years ago
- Implementation of <Contrastive Open Set Recognition> (AAAI-23)☆17Updated 2 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
- Counterfactual Image Generation☆83Updated 5 years ago
- ☆14Updated last year
- ☆16Updated 3 years ago
- Implementation of "Dual Mixup Regularized Learning for Adversarial Domain Adaptation" in Pytorch☆13Updated 4 years ago
- Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)☆58Updated 2 years ago
- ☆24Updated 2 years ago
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆44Updated 4 months ago
- ☆69Updated 6 years ago
- Implementation of Open-Set Likelihood Maximization for Few-Shot Learning☆41Updated last year
- A PyTorch implementation of MoCo based on CVPR 2020 paper "Momentum Contrast for Unsupervised Visual Representation Learning"☆55Updated 4 years ago
- ☆28Updated 3 years ago