Exploiting Spline Models for the Training of Fully Connected Layers in Neural Network

no code implementations • 12 Feb 2021 • Kanya Mo, Shen Zheng, Xiwei Wang, Jinghua Wang, Klaus-Dieter Schewe

The fully connected (FC) layer, one of the most fundamental modules in artificial neural networks (ANN), is often considered difficult and inefficient to train due to issues including the risk of overfitting caused by its large amount of parameters.

Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification

1 code implementation • 27 Jun 2019 • Ringo S. W. Chu, Ho-Cheung Ng, Xiwei Wang, Wayne Luk

Hyperspectral images (HSIs) can distinguish materials with high number of spectral bands, which is widely adopted in remote sensing applications and benefits in high accuracy land cover classifications.

Classification General Classification +1

Optimizing CNN-based Hyperspectral ImageClassification on FPGAs

1 code implementation • 27 Jun 2019 • Shuanglong Liu, Ringo S. W. Chu, Xiwei Wang, Wayne Luk

Hyperspectral image (HSI) classification has been widely adopted in applications involving remote sensing imagery analysis which require high classification accuracy and real-time processing speed.

Classification General Classification +1