Pinned Repositories
Awesome-Layout-Generators
An awesome list of layout generation papers
Awesome-Novel-Class-Discovery
A list of papers that studies Novel Class Discovery
ELI
(CVPR 2022) Energy-based Latent Aligner for Incremental Learning
iOD
(TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning
merlin
(NeurIPS 2020) Meta-Consolidation for Continual Learning
OWOD
(CVPR 2021 Oral) Open World Object Detection
PythonBayesianPrediction
Here we are going to evaluate the posterior using MCMC and use it to make Bayesian Prediction.
PyTorch-MAML-and-Reptile
MAML and Reptile sine wave regression example in PyTorch
SDD-Utils
A couple of utilities that can be used with Stanford Drone Dataset
JosephKJ's Repositories
JosephKJ/merlin
(NeurIPS 2020) Meta-Consolidation for Continual Learning
JosephKJ/PyTorch-MAML-and-Reptile
MAML and Reptile sine wave regression example in PyTorch
JosephKJ/Awesome-Mixup
A repository to host recent papers on Manifold Mixup.
JosephKJ/Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
JosephKJ/sefa
[CVPR 2021] Closed-Form Factorization of Latent Semantics in GANs
JosephKJ/UNO
Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)
JosephKJ/agem
Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
JosephKJ/ARM
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
JosephKJ/awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
JosephKJ/class-incremental-learning
PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020)
JosephKJ/CN-DPM
Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
JosephKJ/Deep-Clustering-Network
PyTorch implementation of "Towards k-means-friendly spaces: Simultaneous deep learning and clustering," Bo Yang et al., 2017.
JosephKJ/detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
JosephKJ/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
JosephKJ/Domain-generalization
All about domain generalization
JosephKJ/DTC
"Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)
JosephKJ/Elephant-of-object-detection
JosephKJ/essentials_for_CIL
Official repository of the paper 'Essentials for Class Incremental Learning'
JosephKJ/FractalDB-Pretrained-ResNet-PyTorch
Pre-training without Natural Images (ACCV 2020 Best Paper Honorable Mention Award)
JosephKJ/FRCL
Functional Regularisation for Continual Learning with Gaussian Processes
JosephKJ/fromp
Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
JosephKJ/hat
Overcoming catastrophic forgetting with hard attention to the task
JosephKJ/hypercl
Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.
JosephKJ/latent-energy-transport
JosephKJ/mammoth
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
JosephKJ/Maximally_Interfered_Retrieval
Codebase for "Online Continual Learning with Maximally Interfered Retrieval"
JosephKJ/NCL
Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021
JosephKJ/python-objectness
Python implementation of the PAMI 2012 paper "Measuring the Objectness of Image Windows" and the CVPR 2010 paper "What is an object ?"
JosephKJ/SS-IL-Official
JosephKJ/SSUL
[NeurIPS 2021] SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning