Pinned Repositories
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
flowhdr
FlowNetPytorch
Pytorch implementation of FlowNet by Dosovitskiy et al.
GAN-defect
demo project of <A Surface Defect Detection Method Based on Positive Samples>, deployed in pytorch
IREANet
iterdet
IterDet: Iterative Scheme for Object Detection in Crowded Environments
memae-anomaly-detection
MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.
mmdetection
Open MMLab Detection Toolbox and Benchmark
N_D
OSVOS-PyTorch
PyTorch implementation of One-Shot Video Object Segmentation (OSVOS)
NygmaLin's Repositories
NygmaLin/attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
NygmaLin/flowhdr
NygmaLin/FlowNetPytorch
Pytorch implementation of FlowNet by Dosovitskiy et al.
NygmaLin/GAN-defect
demo project of <A Surface Defect Detection Method Based on Positive Samples>, deployed in pytorch
NygmaLin/IREANet
NygmaLin/iterdet
IterDet: Iterative Scheme for Object Detection in Crowded Environments
NygmaLin/memae-anomaly-detection
MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.
NygmaLin/mmdetection
Open MMLab Detection Toolbox and Benchmark
NygmaLin/N_D
NygmaLin/OSVOS-PyTorch
PyTorch implementation of One-Shot Video Object Segmentation (OSVOS)
NygmaLin/QATM
NygmaLin/QATM_pytorch_bak
NygmaLin/siamese-pytorch
Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot
NygmaLin/video_analyst
A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.