Multi-scale in Object detection?

1. What is multiscale object detection?
2. What is multi scale in deep learning?
3. What is scale in object detection?
4. What is multi scale CNN?

What is multiscale object detection?

In object detection, multiscale features are necessary to deal with objects with different size. Using Feature Pyramid Network (FPN) as the backbone network is a very popular paradigm in existing object detectors, we call this paradigm FPN+.

What is multi scale in deep learning?

The underlying idea of multiscale feature learning is to construct several CNN models with various contextual input sizes concurrently, whereby the features from mul- tiple models are combined at the fully connected layer [15].

What is scale in object detection?

The Scale-Transferrable Detection Network (STDN) consists of a base network and two task specific prediction subnetworks. The role of the base network is to do feature extraction. The first subnet is used for object classification, and the second subnet is used for bounding box position regression.

What is multi scale CNN?

A unified deep neural network, denoted the multi-scale CNN (MS-CNN), is proposed for fast multi-scale object detection. The MSCNN consists of a proposal sub-network and a detection sub-network.