Peng Xu (徐鹏) (PengBoXiangShang)

PengBoXiangShang

Geek Repo

Company:University of Oxford

Location:UK

Home Page:http://www.pengxu.net/

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Peng Xu (徐鹏)'s repositories

SiamRPN_plus_plus_PyTorch

SiamRPN, SiamRPN++, unofficial implementation of "SiamRPN++" (CVPR2019), multi-GPUs, LMDB.

multigraph_transformer

accepted by IEEE TNNLS, transformer, multi-graph transformer, graph, graph classification, sketch recognition, sketch classification, free-hand sketch, official code of the paper "Multi-Graph Transformer for Free-Hand Sketch Recognition"

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torchsketch

TPAMI 2022

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deepchange

official project page of the paper "DeepChange: A Long-term Person Re-identification Benchmark"

MobileNetV3_PyTorch

MobileNetV3, PyTorch, pretrained model, on ImageNet 1K, detailed training processing.

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EdgeMap345C_Dataset

A large-scale edge-map dataset including 290, 281 edge-maps corresponding to 345 object categories of QuickDraw dataset.

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SiameseX.PyTorch

A simplified PyTorch implementation of Siamese networks for tracking: SiamFC, SiamVGG, SiamDW, SiamRPN, SiamRPN-VGG.

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awesome-meta-learning

A curated list of Meta-Learning resources/papers.

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Attentive-Region-Embedding-Network-for-Zero-shot-Learning

Attentive Region Embedding Network for Zero-shot Learning (CVPR 2019)

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awesome-self-supervised-learning

A curated list of awesome self-supervised methods

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DCDH

Source code for Deep Collaborative Discrete Hashing

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deep-mihash

Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)

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gluon-cv

Gluon CV Toolkit

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GNNPapers

Must-read papers on graph neural networks (GNN)

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google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

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GreedyHash

Source code for "Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN"

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hypertools

A Python toolbox for gaining geometric insights into high-dimensional data

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model-compression

model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular and group convolutional channel pruning;3、 group convolution structure;4、batch-normalization folding for binary value of feature(A))

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pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

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pytorch-maml

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

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pytorch-playground

模型量化工程 Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

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quickdraw-dataset

Documentation on how to access and use the Quick, Draw! Dataset.

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robustness

Corruption and Perturbation Robustness

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self-supervised_learning_sketch

self-supervised learning, deep learning, representation learning, RotNet, temporal convolutional network(TCN), deformation transformation, sketch pre-train, sketch classification, sketch retrieval, free-hand sketch, official code of paper "Deep Self-Supervised Representation Learning for Free-Hand Sketch"

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