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continual-learning-papers

Continual Learning papers list, curated by ContinualAI

continual_learning

Continual/Lifelong/Incremental Learning

continuum

A clean and simple data loading library for Continual Learning

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

convlstm

An implement by Pytorch

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

correction-filter

cpce-3d

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

cpd

Code of Cascaded Partial Decoder for Fast and Accurate Salient Object Detection (CVPR2019)

cpr_cl

cross-season-segmentation

Code for "A Cross-Season Correspondence Dataset for Robust Semantic Segmentation"

crossgradientaggregation

csd

Implementation and datasets for Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (https://arxiv.org/abs/2003.12815)

csgan

Task-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)

csmri-refinement

Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"

ctrlbenchmark

Benchmark for Lifelong learning research

curvature

Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.

cutblur

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

cv-news

Summarize the paper and code in Semantation(Semantic Segmentation,2D Medical Segmentation,3D Medical Segmentation,Instance Segmentation,Panoptic Segmentation,CVPR,ECCV,ICCV,MICCAI)

cvpr2017_gan_tutorial

CVPR'17 GAN Tutorial

cvpr2019

cvpr2019 papers

cvpr2020_auxiliary_quantization

Training Quantized Neural Networks with a Full-precision Auxiliary Module

cvpr2021_plop

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

cvrg

src for cvrg page

da

Unsupervised Domain Adaptation Papers and Code

da-sac

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)

dagan

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

dast_segmentation

The source code of DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training

data-generation

Repository for code from "Generating Synthetic Labeled Data from Existing Anatomical Models: An Example with Echocardiography Segmentation"