Peng Xu (徐鹏)'s repositories
deepchange
ICCV 2023, project page of the paper "DeepChange: A Long-term Person Re-identification Benchmark"
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
multigraph_transformer
IEEE TNNLS 2021, 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"
EdgeMap345C_Dataset
A large-scale edge-map dataset including 290, 281 edge-maps corresponding to 345 object categories of QuickDraw dataset.
torchsketch
TPAMI 2022
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"
quickdraw-dataset
Documentation on how to access and use the Quick, Draw! Dataset.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
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))
Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
Papers on Graph neural network(GNN)
GNNPapers
Must-read papers on graph neural networks (GNN)
deep-mihash
Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)
DCDH
Source code for Deep Collaborative Discrete Hashing
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Attentive-Region-Embedding-Network-for-Zero-shot-Learning
Attentive Region Embedding Network for Zero-shot Learning (CVPR 2019)
SiamRPN_plus_plus_PyTorch
SiamRPN, SiamRPN++, unofficial implementation of "SiamRPN++" (CVPR2019), multi-GPUs, LMDB.
MobileNetV3_PyTorch
MobileNetV3, PyTorch, pretrained model, on ImageNet 1K, detailed training processing.
SiameseX.PyTorch
A simplified PyTorch implementation of Siamese networks for tracking: SiamFC, SiamVGG, SiamDW, SiamRPN, SiamRPN-VGG.
awesome-meta-learning
A curated list of Meta-Learning resources/papers.
GreedyHash
Source code for "Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN"
robustness
Corruption and Perturbation Robustness
pytorch-maml
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
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)