Concurrent Segmentation and Object Detection CNNs for Aircraft Detection and Identification in Satellite Images

Detecting and identifying objects in satellite images is a very challenging task: objects of interest are often very small and features can be difficult to recognize even using very high resolution imagery. For most applications, this translates into a trade-off between recall and precision... (read more)

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Methods used in the Paper


METHOD TYPE
Concatenated Skip Connection
Skip Connections
ReLU
Activation Functions
Max Pooling
Pooling Operations
U-Net
Semantic Segmentation Models
Convolution
Convolutions
1x1 Convolution
Convolutions
Focal Loss
Loss Functions
FPN
Feature Extractors
RetinaNet
Object Detection Models