5 citations · 8 across the 5 of their papers we have counts for
5 papers
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies
Zhouyu He, Peng Qiao, Rongchun Li +2
As the demands for superior agents grow, the training complexity of Deep Reinforcement Learning (DRL) becomes higher. Thus, accelerating training of DRL has become a major research…
Fixed-size Objects Encoding for Visual Relationship Detection
Hengyue Pan, Xin Niu, Rongchun Li +2
In this paper, we propose a fixed-size object encoding method (FOE-VRD) to improve performance of visual relationship detection tasks. Comparing with previous methods, FOE-VRD has…
Visual Confusion Label Tree For Image Classification
Yuntao Liu, Yong Dou, Ruochun Jin +1
Convolution neural network models are widely used in image classification tasks. However, the running time of such models is so long that it is not the conforming to the strict rea…
Supervised Adversarial Networks for Image Saliency Detection
Hengyue Pan, Hui Jiang
In the past few years, Generative Adversarial Network (GAN) became a prevalent research topic. By defining two convolutional neural networks (G-Network and D-Network) and introduci…
Learning Non-local Image Diffusion for Image Denoising
Peng Qiao, Yong Dou, Wensen Feng +1
Image diffusion plays a fundamental role for the task of image denoising. Recently proposed trainable nonlinear reaction diffusion (TNRD) model defines a simple but very effective…