Ziyang Lou

WISNet: Pseudo Label Generation on Unbalanced and Patch Annotated Waste Images

Computer-vision-based assessment on waste sorting is desired to replace manpower supervision in Shanghai city. Due to the hardness of labeling a multitude of waste images, it is infeasible to train a semantic segmentation model for this purpose directly. In this work, we construct a new dataset cons…