The so-called quantum Cheshire cat is a phenomenon in which an object, identified with ``cat'', dissociated from property of the ``grin'' cat. We propose thought experiment, similar to this phenomenon, interferometric setup, where (a component polarization) object (photon) can be separated itself and simultaneously amplified when it already decoupled its object. further show that setup used dis...

Object-Oriented technology is gaining rapid acceptance among software developers, and is becoming the preferred choice for modern computer programming projects. Should a natural scientist care? We discuss some of the main concepts in object-oriented programming and the potential of this interesting technology. The object model views the world as made of many objects interacting (exchanging mess...

background: cat as definitive host of toxoplasma gondii is important in the epidemiology of toxoplasmosis. the object of this study was to determine the seroprevalence of t. gondii as well as parasite isolation from faeces and brain tissues of stray cats in kashan, central iran. methods: the prevalence of t. gondii was determined in serum, feces and brain tissue of 50 stray cats. igg specific a...

In this paper, we discover and annotate visual attributes for the COCO dataset. With the goal of enabling deeper object understanding, we deliver the largest attribute dataset to date. Using our COCO Attributes dataset, a fine-tuned classification system can do more than recognize object categories – for example, rendering multi-label classifications such as “sleeping spotted curled-up cat” ins...

Object recognition is a prominent research area in the world of computer science. It is used to solve a variety of problems such as image processing, medical diagnostics, compression and surveillance. The primary goal of object recognition is to recognize different objects present in an image, even if the objects’ size, shape and other features change. The challenge in object recognition is to ...

Auditory and visual processes demonstrably enhance each other based on spatial and temporal coincidence. Our recent results on visual search have shown that auditory signals also enhance visual salience of specific objects based on multimodal experience. For example, we tend to see an object (e.g., a cat) and simultaneously hear its characteristic sound (e.g., "meow"), to name an object when we...

This paper presents a new object representation, Active Mask Hierarchies (AMH), for object detection. In this representation, an object is described using a mixture of hierarchical trees where the nodes represent the object and its parts in pyramid form. To account for shape variations at a range of scales, a dictionary of masks with varied shape patterns are attached to the nodes at different ...

3D automatic annotation has received increased attention since manually annotating point clouds is laborious. However, existing methods are usually complicated, e.g., pipelined training for foreground/background segmentation, cylindrical object proposals, and completion. Furthermore, they often overlook the inter-object feature correlation that particularly informative to hard samples annotatio...