byeolyi's Stars
anushkayadav/Denoising_cifar10
Contains implementation of denoising algorithms.
chenjie/PyTorch-CIFAR-10-autoencoder
This is a reimplementation of the blog post "Building Autoencoders in Keras". Instead of using MNIST, this project uses CIFAR10.
NervanaSystems/ModelZoo
neon model zoo
kaixin96/PANet
Code for our ICCV 2019 paper PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
Xiangyi1996/PPNet-PyTorch
kazuto1011/grad-cam-pytorch
PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
Yang-Bob/PMMs
Prototype Mixture Models for Few-shot Semantic Segmentation
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
xiaomengyc/Few-Shot-Semantic-Segmentation-Papers
Few Shot Semantic Segmentation Papers
johncai117/Meta-Fine-Tuning
[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.
Alibaba-AAIG/SSL-FEW-SHOT
SSL-FEW-SHOT
cvl-umass/fsl-ssl
Code for "When Does Self-supervision Improve Few-shot Learning?" @ ECCV 2020
AntreasAntoniou/FewShotContinualLearning
The original code for the paper "Benchmarks for Continual Few-Shot Learning".
OpenXAIProject/TAEML
An official code of TAEML (Task-Adaptive Ensemble of Meta-Learners)
chrysts/dsn_fewshot
iskandr/fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
IBM/cdfsl-benchmark
(ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System
haebeom-lee/metadrop
Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)
hytseng0509/CrossDomainFewShot
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
yaoyao-liu/few-shot-classification-leaderboard
Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.
yaoyao-liu/meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
gidariss/FewShotWithoutForgetting
polixir/algo-SSL
algorithm and experiment code of self-compacting softmax loss for the novelty-prepared few-shot classification
indy-lab/ProtoTransfer
Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"
wyharveychen/CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
xinzheli1217/learning-to-self-train
Learning to Self-Train for Semi-Supervised Few-Shot