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Found 5 papers, 3 papers with code
Mitigate Target-level Insensitivity of Infrared Small Target Detection via Posterior Distribution Modeling
Infrared Small Target Detection (IRSTD) aims to segment small targets from infrared clutter background.
Click on Mask: A Labor-efficient Annotation Framework with Level Set for Infrared Small Target Detection
Due to the small size of infrared targets, manual annotation consumes more resources and restricts the development of this field.
ILNet: Low-level Matters for Salient Infrared Small Target Detection
Due to the dearth of high-level semantic information, small infrared target features are weakened in the deep layers of the CNN, which underachieves the CNN's representation ability.
Natural Scene Recognition Based on Superpixels and Deep Boltzmann Machines
However, the DBM is limited in scene recognition due to the fact that natural scene images are usually very large.
A Novel Feature Extraction Method for Scene Recognition Based on Centered Convolutional Restricted Boltzmann Machines
In this paper, a novel feature extraction method, named Centered Convolutional Restricted Boltzmann Machines (CCRBM), is proposed for scene recognition.
