In recent years, with the rapid development of deep learning and its outstanding capabilities
in target detection, innovative methods have been introduced for infrared dim small target …

Colorizing thermal infrared images poses a significant challenge as current methods
struggle with issues such as unrealistic color saturation and limited texture. To address …

Network quantization is leveraged to reduce the model size, memory footprint, and
computational cost of deep neural networks. It is achieved by representing float weights and …

Infrared video target detection is a fundamental technology within infrared warning and
tracking systems. In long-distance infrared remote sensing images, targets often manifest as …

Compared to the natural image community, infrared target detection suffers more challenges
due to the severely tiny and low-contrast objects, especially in cases with obscuration from …

Many targets are often very small in infrared images due to the long-distance imaging
meachnism. UNet and its variants, as popular detection backbone networks, downsample …