Dec 18, 2019 � In this paper, we propose a multi-task convolution neural network with more incremental features. We show the results in the way of a hexagon�...

In this paper, we propose a multi-task convolution neural network with more incremental features. We show the results in the way of a hexagon map, which is�...

Incremental Learning of Multi-Tasking Networks for Aesthetic Radar Map Prediction. X. Jin, X. Zhou, X. Li, X. Zhang, H. Sun, X. Li, and R. Liu.

Incremental Learning of Multi-Tasking Networks for Aesthetic Radar Map Prediction � 来自学术范. 作者. X Jin，X Zhou，X Li，X Zhang，R Liu. 摘要. It is difficult�...

Predicting aesthetic radar map using a hierarchical multi-task network ... Incremental learning of multi-tasking networks for aesthetic radar map prediction.

In this paper, we propose a hierarchical multi-task dense network to make multiple regression of the properties of images. According to the total score, the�...

Predicting Aesthetic Radar Map Using a Hierarchical Multi-task Network ... Incremental Learning of Multi-Tasking Networks for Aesthetic Radar Map Prediction�...

We propose an efficient method for image aesthetic attribute assessment on mixed multi-attribute dataset and construct a multitasking network architecture.

Incremental Learning of Multi-Tasking Networks for Aesthetic Radar Map Prediction � Xin JinXinghui Zhou +4 authors. Ruijun Liu. Computer Science. IEEE Access.

TL;DR: This paper proposes a multi-task convolution neural network with more incremental features called aesthetic radar map, which allows the network model to�...