TMCnet

WiMi Studies Hybrid Quantum-Classical Learning Architecture for Multi-Class Image Classification

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...
optics.org

Metalenses and neural array allow compact high-quality imaging device

The project's solution is an imaging system combining a metalens array, an RGB CMOS sensor and a computing layer chip.
IEEE

DSNet: Dynamic Stitchable Neural Network for Hyperspectral Image Classification

Abstract: Hyperspectral image classification (HSIC) aims to identify land-cover categories by leveraging the spectral and spatial information contained in hyperspectral images (HSIs). Currently, many ...
IEEE

Binary Neural Networks With Feature Information Retention for Efficient Image Classification

Abstract: Although binary neural networks (BNNs) enjoy extreme compression ratios, there are significant accuracy gap compared with full-precision models. Previous works propose various strategies to ...