yujun-shi Goto Github PK

adversarial-continual-learning

Implementation for the paper "Adversarial Continual Learning" in PyTorch.

bayesiandefense

Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network

blip

Official Implementation of CVPR2021 paper: Continual Learning via Bit-Level Information Preserving

cfmatting_cuda_mkl

A cuda & mkl implementation of closed-form matting

coursework

cwd

Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning"

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dragdiffusion

[CVPR2024, Highlight] Official code for DragDiffusion

facil

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

fedcls

[ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.00226)

keras_superpixel_pooling

Implementation of superpixel pooling layer in Keras. See keras.layers.pooling for implemenation.

mpn-cov-convnet

opencv_contrib

Repository for OpenCV's extra modules

performancevsadversarial

This is the code for the project: "Understanding Adversarial Behavior of DNNs By Disentangling Non-robust and Robust Component"

yujun-shi.github.io