Abstract: A method and apparatus with object detector training is provided. The method includes obtaining first input data and second input data from a target object; obtaining second additional input data by performing data augmentation on the second input data; extracting a first feature to a shared embedding space by inputting the first input data to a first encoder; extracting a second feature to the shared embedding space by inputting the second input data to a second encoder; extracting a second additional feature to the shared embedding space by inputting thesecond additional input data to the second encoder; identifying a first loss function based on the first feature, the second feature, and the second additional feature; identifying a second loss function based on the second feature and the second additional feature; and updating a weight of the second encoder based on the first loss function and the second loss function.

Abstract: A silicon layer etchant composition and associated methods, the composition including about 1 wt % to about 20 wt % of an alkylammonium hydroxide; about 1 wt % to about 30 wt % of an amine compound; about 0.01 wt % to about 0.2 wt % of a nonionic surfactant including both a hydrophobic group and a hydrophilic group; and water, all wt % being based on a total weight of the silicon layer etchant composition.

Abstract: A silicon layer etchant composition and associated methods, the composition including about 1 wt % to about 20 wt % of an alkylammonium hydroxide; about 1 wt % to about 30 wt % of an amine compound; about 0.01 wt % to about 0.2 wt % of a nonionic surfactant including both a hydrophobic group and a hydrophilic group; and water, all wt % being based on a total weight of the silicon layer etchant composition.