6 papers
Fast Single-shot Ship Instance Segmentation Based on Polar Template Mask in Remote Sensing Images
Zhenhang Huang, Shihao Sun, Ruirui Li
Object detection and instance segmentation in remote sensing images is a fundamental and challenging task, due to the complexity of scenes and targets. The latest methods tried to…
Noise-Tolerant Paradigm for Training Face Recognition CNNs
Wei Hu, Yangyu Huang, Fan Zhang +1
Benefit from large-scale training datasets, deep Convolutional Neural Networks(CNNs) have achieved impressive results in face recognition(FR). However, tremendous scale of datasets…
Robust Semantic Segmentation By Dense Fusion Network On Blurred VHR Remote Sensing Images
Yi Peng, Shihao Sun, Zheng Wang +2
Robust semantic segmentation of VHR remote sensing images from UAV sensors is critical for earth observation, land use, land cover or mapping applications. Several factors such as…
Feature Fusion through Multitask CNN for Large-scale Remote Sensing Image Segmentation
Shihao Sun, Lei Yang, Wenjie Liu +1
In recent years, Fully Convolutional Networks (FCN) has been widely used in various semantic segmentation tasks, including multi-modal remote sensing imagery. How to fuse multi-mod…
TreeSegNet: Adaptive Tree CNNs for Subdecimeter Aerial Image Segmentation
Kai Yue, Lei Yang, Ruirui Li +3
For the task of subdecimeter aerial imagery segmentation, fine-grained semantic segmentation results are usually difficult to obtain because of complex remote sensing content and o…
SeqFace: Make full use of sequence information for face recognition
Wei Hu, Yangyu Huang, Fan Zhang +3
Deep convolutional neural networks (CNNs) have greatly improved the Face Recognition (FR) performance in recent years. Almost all CNNs in FR are trained on the carefully labeled da…