Due to the difficulty in acquiring massive task-specific occluded images, classification of images with deep convolutional neural networks (CNNs) remains highly challenging. To alleviate dependency on large-scale image datasets, we propose a novel approach improve accuracy by fine-tuning pre-trained models set augmented feature vectors (DFVs). The DFVs is composed original and pseudo-DFVs. pseu...

The administration of baculoviruses to insects for bioassay purposes is carried out, in most cases, by contamination of food surfaces with a known amount of occlusion bodies (OBs). Sinceper os infection is the natural route of infection, occluded recombinant viruses containing crystal protein genes (cry1Ab and cry1Ac) from Bacillus thuringiensis were constructed for comparison with the baculovi...

In some complex scene, such as military reconnaissance and other fields, the target object may be partially occluded by opaque obstacles, which increase difficulty to obtain complete image. traditional optical imaging system, lenslet array or reference beam special algorithms are usually needed solve this problem, complexity of system. As a computational technology, problem single-pixel (SPI) f...