336 citations · 1.7k across the 24 of their papers we have counts for
7 papers · 1 filter
ZARTS: On Zero-order Optimization for Neural Architecture Search
Xiaoxing Wang, Wenxuan Guo, Junchi Yan +2
Differentiable architecture search (DARTS) has been a popular one-shot paradigm for NAS due to its high efficiency. It introduces trainable architecture parameters to represent the…
A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed Images
Rui Li, Shunyi Zheng, Ce Zhang +2
Semantic segmentation using fine-resolution remotely sensed images plays a critical role in many practical applications, such as urban planning, environmental protection, natural a…
Multi-stage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images
Rui Li, Shunyi Zheng, Chenxi Duan +2
The attention mechanism can refine the extracted feature maps and boost the classification performance of the deep network, which has become an essential technique in computer visi…
Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation
Rui Li, Jianlin Su, Chenxi Duan +1
In this paper, to remedy this deficiency, we propose a Linear Attention Mechanism which is approximate to dot-product attention with much less memory and computational costs. The e…
O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks
Jianlin Su
In this paper, we propose Orthogonal Generative Adversarial Networks (O-GANs). We decompose the network of discriminator orthogonally and add an extra loss into the objective of co…
Artist Style Transfer Via Quadratic Potential
Rahul Bhalley, Jianlin Su
In this paper we address the problem of artist style transfer where the painting style of a given artist is applied on a real world photograph. We train our neural networks in adve…
Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification
Hao Ren, Jianlin Su, Hong Lu
Image classification is a challenging problem which aims to identify the category of object in the image. In recent years, deep Convolutional Neural Networks (CNNs) have been appli…