RSnet: An improvement for Darknet

16 Jan 2020 • Shengquan Wang • Ang Li • Jiying Chen • Baoyu Zheng • Jiaxin Ji • Li Xianglong

Recently, when we used this method to identify aircraft targets in remote sensing images, we found that there are some defects in our own YOLOv2 and Darknet-19 network. Characteristic in the images we identified are not very clear, thats why we couldn't get some much more good results... (read more)

PDF Abstract

Code

Add Remove Mark official

No code implementations yet. Submit your code now

Tasks

Add Remove

Results from the Paper

Add Remove

Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

METHOD	TYPE
Logistic Regression	Generalized Linear Models
k-Means Clustering	Clustering
Residual Connection	Skip Connections
Convolution	Convolutions
Average Pooling	Pooling Operations
Darknet-53	Convolutional Neural Networks
YOLOv3	Object Detection Models
Global Average Pooling	Pooling Operations
1x1 Convolution	Convolutions
Batch Normalization	Normalization
Max Pooling	Pooling Operations
Softmax	Output Functions
Darknet-19	Convolutional Neural Networks
YOLOv2	Object Detection Models

METHOD

TYPE

Logistic Regression