Shihua Huang's repositories

FaPN-full

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

SoloGAN

Multimodal image-to-image translation via a single generative adversarial network

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deepmind_adversarial_robustness

This is a copy of deepmind's adversarial robustness repo

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adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

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adversarial_robustness_pytorch

Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch

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AWP

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

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CelebA

dataset

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DCNv2

Deformable Convolutional Networks v2 with Pytorch

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DDRNet.pytorch

This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data

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Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

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nsga-net

NSGA-Net, a Neural Architecture Search Algorithm

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once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

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poolformer-1

PoolFormer: MetaFormer is Actually What You Need for Vision

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pytorch-cifar

95.47% on CIFAR10 with PyTorch

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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ResNeXt.pytorch

Reproduces ResNet-V3 with pytorch

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robust-residual-network

Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective

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robustbench

RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]

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segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

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ShihuaHuang95.github.io

Shihua Huang's home page

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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ViTs-vs-CNNs

[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)

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