LayneH
Ph.D. candidate at the University of Tokyo. Working on Self-Sup. Learning and Vision Transformers.
UTokyo; Alumnus@PKU.Tokyo
Pinned Repositories
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
GreenMIM
[NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.
LayneH.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
LEWEL
[CVPR2022] Official Implementation of the paper 'Learning Where to Learn in Cross-View Self-Supervised Learning'
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
MRCNN
TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.
SAT-selective-cls
Self-Adaptive Traning for Selective Classification.
self-adaptive-training
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
TLDA
TensorFlow implementation of Supervised Representation Learning: Transfer Learning with Deep Autoencoders
openseg.pytorch
The official Pytorch implementation of OCNet series and SegFix.
LayneH's Repositories
LayneH/GreenMIM
[NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.
LayneH/self-adaptive-training
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
LayneH/LEWEL
[CVPR2022] Official Implementation of the paper 'Learning Where to Learn in Cross-View Self-Supervised Learning'
LayneH/MRCNN
TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.
LayneH/TLDA
TensorFlow implementation of Supervised Representation Learning: Transfer Learning with Deep Autoencoders
LayneH/SAT-selective-cls
Self-Adaptive Traning for Selective Classification.
LayneH/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
LayneH/LayneH.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
LayneH/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
LayneH/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.