20 citations · 25 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 5 cited
DCT Perceptron Layer: A Transform Domain Approach for Convolution Layer
Hongyi Pan, Xin Zhu, Salih Atici +1
In this paper, we propose a novel Discrete Cosine Transform (DCT)-based neural network layer which we call DCT-perceptron to replace the Conv2D layers in the Residual ne…
cs.CV2017★ 20 cited
Learning Chained Deep Features and Classifiers for Cascade in Object Detection
Wanli Ouyang, Ku Wang, Xin Zhu +1
Cascade is a widely used approach that rejects obvious negative samples at early stages for learning better classifier and faster inference. This paper presents chained cascade net…