WilliamYi96 / awesome-continual-zero-shot-learning
A curated list of resources on continual zero-shot learning
☆17Updated 3 years ago
Alternatives and similar repositories for awesome-continual-zero-shot-learning:
Users that are interested in awesome-continual-zero-shot-learning are comparing it to the libraries listed below
- ☆29Updated 4 years ago
- ☆38Updated 4 years ago
- Official code for "Towards Recognizing Unseen Categories in Unseen Domains"☆64Updated 2 years ago
- ☆15Updated 4 years ago
- Class Normalization for Continual Zero-Shot Learning☆34Updated 4 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆119Updated 4 years ago
- Zero Shot Learning with Feature Generating Networks☆40Updated 3 years ago
- Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition accepted @ Neurips20☆25Updated 3 years ago
- Latest progresses (papers & datasets) of zero-shot learning.☆83Updated 2 years ago
- Code for the paper ICCV'19 "Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning"☆18Updated 5 years ago
- Codes for the CVPR 2021 paper: Contrastive Embedding for Generalized Zero-Shot Learning☆95Updated 3 years ago
- Code for model presented on our paper accepted on European Conference on Computer Vision 2018.☆57Updated 6 years ago
- [ICCV2021] Official Pytorch implementation for SDGZSL (Semantics Disentangling for Generalized Zero-Shot Learning)☆37Updated 3 years ago
- Transductive Zero-Shot Learning with Visual Structure Constraint, in NeurIPS 2019☆44Updated 5 years ago
- PyTorch Implementation for ICCV19 paper "Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective"☆33Updated 5 years ago
- Generative Dual Adversarial Network for Generalized Zero-shot Learning☆54Updated 5 years ago
- ☆60Updated 3 years ago
- Generative Feature Replay For Class-Incremental Learning☆37Updated 5 years ago
- pytorch implementation of Large Scale Incremental Learning☆66Updated 4 years ago
- ☆15Updated 4 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆97Updated last year
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Updated 2 years ago
- ☆26Updated 5 years ago
- This is a PyTorch implementation of the paper "Attribute Prototype Network for Zero-Shot Learning".☆72Updated 2 years ago
- Official repository of the paper 'Essentials for Class Incremental Learning'☆40Updated 3 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Updated 4 years ago
- Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021☆74Updated 2 years ago
- Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention accepted @ CVPR20☆51Updated 2 years ago
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆92Updated last year