Abstract: One-stage object detection is commonly implemented by optimizing two sub-tasks: object classification and localization, using heads with two parallel branches, which might lead to a certain ...
Abstract: Learning-based infrared small object detection methods currently rely heavily on the classification backbone network. This tends to result in tiny object loss and feature distinguishability ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results