Infrared Small-Dim Target Detection with Transformer under Complex Backgrounds

Understand

The infrared small-dim target detection is one of the key techniques in the infrared search and tracking system.

• Since the local regions similar to infrared small-dim targets spread over the whole background, exploring the interaction information amongst image features in large-range dependencies to mine the difference between the target and background is crucial for robust detection.
• However, existing deep learning-based methods are limited by the locality of convolutional neural networks, which impairs the ability to capture large-range dependencies.
• Additionally, the small-dim appearance of the infrared target makes the detection model highly possible to miss detection.