sbharadwajj / embarrassingly-simple-zero-shot-learningLinks
This is a started/demo code for Zero-Shot-Learning via implementation of Embarrassingly simple ZSL (ICML 2015)
☆74Updated 6 years ago
Alternatives and similar repositories for embarrassingly-simple-zero-shot-learning
Users that are interested in embarrassingly-simple-zero-shot-learning are comparing it to the libraries listed below
Sorting:
- [ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOT…☆130Updated 4 years ago
- ☆69Updated 5 years ago
- Zero Shot Learning with Feature Generating Networks☆40Updated 4 years ago
- A paper collection of brand-new ZSL methods, according to different algorithm.☆77Updated 4 years ago
- "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…☆229Updated 5 years ago
- Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol☆64Updated 5 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆169Updated 4 years ago
- Learning to Self-Train for Semi-Supervised Few-Shot☆94Updated 2 years ago
- Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started…☆212Updated 3 years ago
- Official code for "Towards Recognizing Unseen Categories in Unseen Domains"☆64Updated 2 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆231Updated 5 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆102Updated 2 years ago
- Codes for the CVPR 2021 paper: Contrastive Embedding for Generalized Zero-Shot Learning☆101Updated 4 years ago
- "Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)☆169Updated 3 years ago
- Latest progresses (papers & datasets) of zero-shot learning.☆83Updated 3 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 5 years ago
- [CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition☆164Updated 4 years ago
- ☆116Updated 4 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆177Updated 4 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆138Updated 5 years ago
- ☆132Updated 4 years ago
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆120Updated 2 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- ☆91Updated 3 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆123Updated 2 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆130Updated 6 years ago
- infinite mixture prototypes for few-shot learning☆51Updated 2 years ago
- Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…☆117Updated 5 years ago
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆105Updated 4 years ago
- PyTorch Implementation for ICCV19 paper "Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective"☆33Updated 5 years ago