Abstract: Infrared small target detection (IRSTD) faces significant challenges due to the small scale and low intensity of targets, which are characterized by extremely sparse features. Most existing ...
Abstract: Few-shot classification aims to learn a discriminative feature representation to recognize unseen classes with few labeled support samples. While most few-shot learning methods focus on ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results