π
π
Old Age
Dense Fusion Classmate Network for Land Cover Classification
November 19, 2019 Β· Declared Dead Β· π 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Chao Tian, Cong Li, Jianping Shi
arXiv ID
1911.08169
Category
cs.CV: Computer Vision
Citations
35
Venue
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Last Checked
4 months ago
Abstract
Recently, FCNs based methods have made great progress in semantic segmentation. Different with ordinary scenes, satellite image owns specific characteristics, which elements always extend to large scope and no regular or clear boundaries. Therefore, effective mid-level structure information extremely missing, precise pixel-level classification becomes tough issues. In this paper, a Dense Fusion Classmate Network (DFCNet) is proposed to adopt in land cover classification.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Computer Vision
π
π
Old Age
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
π
π
Old Age
SSD: Single Shot MultiBox Detector
π
π
Old Age
Squeeze-and-Excitation Networks
π
π
Old Age
Fast R-CNN
π
π
Old Age
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted