FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel Orange

24 May 2019 Xiaoye Sun Gongyan Li Shaoyun Xu

To accurately and efficiently distinguish the stem end and the blossom end of navel orange from its black spots, we propose a feature skyscraper detector (FSD) with low computational cost, compact architecture and high detection accuracy. The main part of the detector is inspired from small object that stem (blossom) end is complex and black spot is densely distributed, so we design the feature skyscraper networks (FSN) based on dense connectivity... (read more)

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METHOD TYPE
Average Pooling
Pooling Operations
Logistic Regression
Generalized Linear Models
Global Average Pooling
Pooling Operations
k-Means Clustering
Clustering
Max Pooling
Pooling Operations
Softmax
Output Functions
Residual Connection
Skip Connections
Convolution
Convolutions
Darknet-19
Convolutional Neural Networks
Darknet-53
Convolutional Neural Networks
YOLOv3
Object Detection Models
Non Maximum Suppression
Proposal Filtering
Concatenated Skip Connection
Skip Connections
Dilated Convolution
Convolutions
Sigmoid Activation
Activation Functions
1x1 Convolution
Convolutions
Batch Normalization
Normalization
ReLU
Activation Functions
SSD
Object Detection Models
RFB
Feature Extractors
YOLOv2
Object Detection Models
Dense Block
Image Model Blocks
Swish
Activation Functions