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
No code implementations yet. Submit your code now

Tasks


Datasets


  Add Datasets introduced or used in this paper

Results from the Paper


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

Methods used in the Paper


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