Pinned Repositories
BLTM
[ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
CAFE
This is a method of dataset condensation, and it has been accepted by CVPR-2022.
DatasetCondensation
Dataset Condensation (ICLR21 and ICML21)
detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
few-shot-classification-leaderboard
Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.
Few_Shot_Distribution_Calibration
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
LC-Booster
multivariate-Laplace-extension-for-SciPy
Implementation of SciPy extension for random Multivariate Double Exponential (Laplace) distribution
OWOD
(CVPR 2021 Oral) Open World Object Detection
Part-dependent-label-noise
NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise
ShuoYang-1998's Repositories
ShuoYang-1998/Few_Shot_Distribution_Calibration
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
ShuoYang-1998/BLTM
[ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
ShuoYang-1998/OWOD
(CVPR 2021 Oral) Open World Object Detection
ShuoYang-1998/detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
ShuoYang-1998/few-shot-classification-leaderboard
Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.
ShuoYang-1998/multivariate-Laplace-extension-for-SciPy
Implementation of SciPy extension for random Multivariate Double Exponential (Laplace) distribution
ShuoYang-1998/Part-dependent-label-noise
NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise
ShuoYang-1998/CAFE
This is a method of dataset condensation, and it has been accepted by CVPR-2022.
ShuoYang-1998/DatasetCondensation
Dataset Condensation (ICLR21 and ICML21)
ShuoYang-1998/LC-Booster
ShuoYang-1998/learn2learn
A PyTorch Library for Meta-learning Research
ShuoYang-1998/PartImageNet
Introduction and scripts for the paper "PartImageNet: A Large, High-Quality Dataset of Parts" (Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Alan Yuille).
ShuoYang-1998/pytorch-cifar
95.47% on CIFAR10 with PyTorch
ShuoYang-1998/ShuoYang-1998.github.io
ShuoYang-1998/vision
Datasets, Transforms and Models specific to Computer Vision