15 citations · 15 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 15 cited
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
Yaoming Cai, Zijia Zhang, Yan Liu +4
Clustering of hyperspectral images is a fundamental but challenging task. The recent development of hyperspectral image clustering has evolved from shallow models to deep and achie…
cs.LG2019
Quantization Loss Re-Learning Method
Kunping Li
In order to quantize the gate parameters of the LSTM (Long Short-Term Memory) neural network model with almost no recognition performance degraded, a new quantization method named…
cs.LG2016
Deep Adaptive Network: An Efficient Deep Neural Network with Sparse Binary Connections
Xichuan Zhou, Shengli Li, Kai Qin +5
Deep neural networks are state-of-the-art models for understanding the content of images, video and raw input data. However, implementing a deep neural network in embedded systems…