Pinned Repositories
quickdraw-dataset
Documentation on how to access and use the Quick, Draw! Dataset.
deepchange
ICCV 2023, project page of the paper "DeepChange: A Long-term Person Re-identification Benchmark"
EdgeMap345C_Dataset
A large-scale edge-map dataset including 290, 281 edge-maps corresponding to 345 object categories of QuickDraw dataset.
iteration_algorithm_4_GroupL1Norm
Programming implement for "A Brief Tutorial on Group ℓ1-norm"
MobileNetV3_PyTorch
MobileNetV3, PyTorch, pretrained model, on ImageNet 1K, detailed training processing.
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"
SiameseX.PyTorch
A simplified PyTorch implementation of Siamese networks for tracking: SiamFC, SiamVGG, SiamDW, SiamRPN, SiamRPN-VGG.
SiamFC
SiamRPN_plus_plus_PyTorch
SiamRPN, SiamRPN++, unofficial implementation of "SiamRPN++" (CVPR2019), multi-GPUs, LMDB.
torchsketch
TPAMI 2022
PengBoXiangShang's Repositories
PengBoXiangShang/SiamRPN_plus_plus_PyTorch
SiamRPN, SiamRPN++, unofficial implementation of "SiamRPN++" (CVPR2019), multi-GPUs, LMDB.
PengBoXiangShang/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"
PengBoXiangShang/torchsketch
TPAMI 2022
PengBoXiangShang/deepchange
ICCV 2023, project page of the paper "DeepChange: A Long-term Person Re-identification Benchmark"
PengBoXiangShang/MobileNetV3_PyTorch
MobileNetV3, PyTorch, pretrained model, on ImageNet 1K, detailed training processing.
PengBoXiangShang/EdgeMap345C_Dataset
A large-scale edge-map dataset including 290, 281 edge-maps corresponding to 345 object categories of QuickDraw dataset.
PengBoXiangShang/SiameseX.PyTorch
A simplified PyTorch implementation of Siamese networks for tracking: SiamFC, SiamVGG, SiamDW, SiamRPN, SiamRPN-VGG.
PengBoXiangShang/SiamFC
PengBoXiangShang/awesome-meta-learning
A curated list of Meta-Learning resources/papers.
PengBoXiangShang/somethingtmp
PengBoXiangShang/Attentive-Region-Embedding-Network-for-Zero-shot-Learning
Attentive Region Embedding Network for Zero-shot Learning (CVPR 2019)
PengBoXiangShang/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
PengBoXiangShang/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
PengBoXiangShang/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
PengBoXiangShang/Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
PengBoXiangShang/awesome_sketch
PengBoXiangShang/DCDH
Source code for Deep Collaborative Discrete Hashing
PengBoXiangShang/deep-mihash
Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)
PengBoXiangShang/GNNPapers
Must-read papers on graph neural networks (GNN)
PengBoXiangShang/GreedyHash
Source code for "Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN"
PengBoXiangShang/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))
PengBoXiangShang/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
Papers on Graph neural network(GNN)
PengBoXiangShang/PengBoXiangShang.github.io
PengBoXiangShang/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
PengBoXiangShang/pytorch-maml
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
PengBoXiangShang/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)
PengBoXiangShang/quickdraw-dataset
Documentation on how to access and use the Quick, Draw! Dataset.
PengBoXiangShang/robustness
Corruption and Perturbation Robustness
PengBoXiangShang/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"
PengBoXiangShang/utils_4_svg_sketch