Taking time to identify expected products and waiting for the checkout in a retail store are
common scenes we all encounter in our daily lives. The realization of automatic product …

Fine-grained image analysis (FGIA) is a longstanding and fundamental problem in computer
vision and pattern recognition, and underpins a diverse set of real-world applications. The …

Adversarial examples are inputs with imperceptible perturbations that easily misleading
deep neural networks (DNNs). Recently, adversarial patch, with noise confined to a small …

Adversarial examples are inputs with imperceptible perturbations that easily mislead deep
neural networks (DNNs). Recently, adversarial patch, with noise confined to a small and …

The product categories are vital for the E-commerce platforms due to the core applications
on automatic product category assignment, personalized product recommendations, etc. In …

Object detection and counting are related but challenging problems, especially for drone
based scenes with small objects and cluttered background. In this paper, we propose a new …

Automatic security inspection has received increasing interests in recent years. Due to the
fixed top-down perspective of X-ray scanning of often tightly packed luggages, such images …

Recently, the emerging concept of “unmanned retail” has drawn more and more attention,
and the unmanned retail based on the intelligent unmanned vending machines (UVMs) …

Abstract Automatic Check-Out (ACO) aims to accurately predict the presence and count of
each category of products in check-out images, where a major challenge is the significant …

Automatic Check-Out (ACO) provides an object detection based mechanism for retailers to
process the purchases of customers automatically. However, it suffers a lot from the domain …