Contextual information, such as the co-occurrence of objects and the spatial and relative
size among objects, provides rich and complex information about digital scenes. It also plays …

Deep neural network approaches have demonstrated high performance in object
recognition (CNN) and detection (Faster-RCNN) tasks, but experiments have shown that …

This paper proposes an efficient image retrieval system. When users wish to retrieve images
with semantic and spatial constraints (eg., a horse is located at the center of the image, and …

Contextual information, such as the co-occurrence of objects and the spatial and relative
size among objects provides deep and complex information about scenes. It also can play …

Connecting multiple machine learning models into a pipeline is effective for handling
complex problems. By breaking down the problem into steps, each tackled by a specific …

Object detection has improved very rapidly in the last decades, but because they are very
essential and considerably needed in various applications, further enhancement is needed …