62 citations · 91 across the 5 of their papers we have counts for
5 papers
Progressive Learning of Low-Precision Networks
Zhengguang Zhou, Wengang Zhou, Xutao Lv +3
Recent years have witnessed the great advance of deep learning in a variety of vision tasks. Many state-of-the-art deep neural networks suffer from large size and high complexity,…
Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection
Hongyu Xu, Xutao Lv, Xiaoyu Wang +3
In this paper, we propose a novel object detection algorithm named "Deep Regionlets" by integrating deep neural networks and a conventional detection schema for accurate generic ob…
Deep Regionlets for Object Detection
Hongyu Xu, Xutao Lv, Xiaoyu Wang +3
In this paper, we propose a novel object detection framework named "Deep Regionlets" by establishing a bridge between deep neural networks and conventional detection schema for acc…
SEP-Nets: Small and Effective Pattern Networks
Zhe Li, Xiaoyu Wang, Xutao Lv +1
While going deeper has been witnessed to improve the performance of convolutional neural networks (CNN), going smaller for CNN has received increasing attention recently due to its…
Deep Reinforcement Learning-based Image Captioning with Embedding Reward
Zhou Ren, Xiaoyu Wang, Ning Zhang +2
Image captioning is a challenging problem owing to the complexity in understanding the image content and diverse ways of describing it in natural language. Recent advances in deep…