DLwbm123
Hi I am Wang Bomin, a PhD student of Fudan University,Shanghai, CHINA. Majored in Data Science.
Fudan UniversityShanghai, China
Pinned Repositories
3D-Human-Pose-Estimation-Notes
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
awesome-zero-shot-learning
A curated list of papers, code and resources pertaining to zero shot learning
CapsuleVOS
compsensing_dip
Compressed sensing with deep image prior algorithm
LBAM_inpainting
Pytorch implementation of paper : Image Inpainting with Learnable Bidirectional Attention Map (ICCV, 2019)
learning_filter_basis
Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression"
medical-data
OCMIST
GUI for MICCAI 2019 "Interactive deep editing framework for medical image segmentation" (One-click medical image segmentation tool!)
RL-CSC
Codes for "Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse Coding"
DLwbm123's Repositories
DLwbm123/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
DLwbm123/Continual_Learning
Continual/Lifelong/Incremental Learning
DLwbm123/awesome-ebm
Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
DLwbm123/Awesome-Incremental-Learning
Awesome Incremental Learning
DLwbm123/awesome-self-supervised-learning-for-graphs
A curated list for awesome self-supervised learning for graphs.
DLwbm123/Awesome_Continual-Lifelong-Incremental_learning
DLwbm123/class-incremental-learning
PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020)
DLwbm123/CLsurvey
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.
DLwbm123/continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
DLwbm123/continuum
A clean and simple data loading library for Continual Learning
DLwbm123/CTrLBenchmark
Benchmark for Lifelong learning research
DLwbm123/da-sac
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)
DLwbm123/dataset
医学影像数据集列表
DLwbm123/F-LSeSim
CVPR 2021: "The Spatially-Correlative Loss for Various Image Translation Tasks"
DLwbm123/FACT
DLwbm123/FedGraphNN
A Research-oriented Federated Learning Library and Benchmark Platform for Graph Neural Networks. Accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops. The ArXiv version will be available soon.
DLwbm123/generalized-variational-continual-learning
code for generalized variational continual learning
DLwbm123/GTS
Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
DLwbm123/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.
DLwbm123/hyperseg
HyperSeg - Official PyTorch Implementation
DLwbm123/ibinn_imagenet
DLwbm123/incremental_learning.pytorch
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
DLwbm123/learning-subspaces
DLwbm123/orthogonal_learning
continual learning algorithms from CVPR 2021 and ICLR 2021
DLwbm123/SmoothingLatentSpace
CVPR 2021
DLwbm123/SPML
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
DLwbm123/TrackToLearn
Public release of Track-to-Learn: A general framework for tractography with deep reinforcement learning
DLwbm123/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation and Finetune.
DLwbm123/UCL
The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
DLwbm123/VRCNet
[CVPR 2021 Oral] Variational Relational Point Completion Network