Lida Li (lld533)

lld533

Geek Repo

Company:The Hong Kong Polytechnic University

Location:Hung Hom, Kowloon, Hong Kong

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Lida Li's repositories

Grid-Anchor-based-Image-Cropping-Pytorch

Compatible with Python3 & PyTorch 1.0+ on Ubuntu

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LST-Net

Code for paper " LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform" appeared in ECCV'20

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adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

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adversairal-attacks-pytorch

A pytorch implementations of Adversarial attacks and utils

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advertorch

A Toolbox for Adversarial Robustness Research

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auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

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DeepLabV3Plus-Pytorch

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

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detr

End-to-End Object Detection with Transformers

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diffGrad

diffGrad: An Optimization Method for Convolutional Neural Networks

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DnCNN-PyTorch

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

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DSoP-Net

Official PyTorch implementation of DSoP-Net

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FeatureAttack

Strongest attack against Feature Scatter and Adversarial Interpolation

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FIIQA

Reference: Illumination Quality Assessment for Face Images: A Benchmark and A Convolutional Neural Networks Based Model

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ghostnet

[CVPR2020] GhostNet: More Features from Cheap Operations

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Intermediate-Level-Attack

[ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)

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keras

Deep Learning for humans

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Mutual-Channel-Loss

Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)

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ODI

Output Diversified Initialization

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PFLD_68points_Pytorch

Implementation of PFLD For 68 Facial Landmarks By Pytorch

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pytorch

Windows port of PyTorch. Alpha quality

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research-ms-loss

MS-Loss: Multi-Similarity Loss for Deep Metric Learning

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semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

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TorchSeg

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

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yolov3-pytorch

YOLOV3 pytorch implementation as a python package

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ZeroBranePackage

Packages for ZeroBrane Studio (https://studio.zerobrane.com)

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