PengBoXiangShang

SiamRPN_plus_plus_PyTorch

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

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"

torchsketch

TPAMI 2022

deepchange

ICCV 2023, 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.

EdgeMap345C_Dataset

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

SiameseX.PyTorch

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

SiamFC

awesome-meta-learning

A curated list of Meta-Learning resources/papers.

somethingtmp

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

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

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

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)

awesome_sketch

DCDH

Source code for Deep Collaborative Discrete Hashing

deep-mihash

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

GNNPapers

Must-read papers on graph neural networks (GNN)

GreedyHash

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

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)

PengBoXiangShang.github.io

pyGAT

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

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)

quickdraw-dataset

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

robustness

Corruption and Perturbation Robustness

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"

utils_4_svg_sketch