Lu Qi

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs

A review of medical image data augmentation techniques for deep learning applications

The classification of gliomas based on a Pyramid dilated convolution resnet model

Deep High-Resolution Representation Learning for Visual Recognition

Sequential Context Encoding for Duplicate Removal

Faster R-CNN for marine organisms detection and recognition using data augmentation