3 accepted papers
Achieving robust semantic segmentation for autonomous mowing robots requires discriminating between materials with subtle visual differences under challenging outdoor conditions. To address this, we present a novel framework that co-designs feature-specific spectral imaging and a lightweight deep le
We demonstrate a compact, cost-effective snapshot spectral imaging system named Aperture Diffraction Imaging Spectrometer (ADIS), which consists only of an imaging lens with an ultra-thin orthogonal aperture mask and a mosaic filter sensor, requiring no additional physical footprint compared to comm…
We endeavor on a rarely explored task named Insubstan-tial Object Detection (IOD), which aims to localize the object with following characteristics: (1) amorphous shape with indistinct boundary; (2) similarity to surroundings; (3) absence in color. Accordingly, it is far more challenging to distingu…