Deep learning for retail product recognition: Challenges and techniques
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 …
common scenes we all encounter in our daily lives. The realization of automatic product …
Fine-grained image analysis with deep learning: A survey
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 …
vision and pattern recognition, and underpins a diverse set of real-world applications. The …
Bias-based universal adversarial patch attack for automatic check-out
Adversarial examples are inputs with imperceptible perturbations that easily misleading
deep neural networks (DNNs). Recently, adversarial patch, with noise confined to a small …
deep neural networks (DNNs). Recently, adversarial patch, with noise confined to a small …
Universal adversarial patch attack for automatic checkout using perceptual and attentional bias
Adversarial examples are inputs with imperceptible perturbations that easily mislead deep
neural networks (DNNs). Recently, adversarial patch, with noise confined to a small and …
neural networks (DNNs). Recently, adversarial patch, with noise confined to a small and …
Guided attention network for object detection and counting on drones
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 …
based scenes with small objects and cluttered background. In this paper, we propose a new …
MEP-3M: A large-scale multi-modal E-commerce product dataset
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 …
on automatic product category assignment, personalized product recommendations, etc. In …
Multi-label x-ray imagery classification via bottom-up attention and meta fusion
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 …
fixed top-down perspective of X-ray scanning of often tightly packed luggages, such images …
Product recognition for unmanned vending machines
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) …
and the unmanned retail based on the intelligent unmanned vending machines (UVMs) …
Automatic check-out via prototype-based classifier learning from single-product exemplars
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 …
each category of products in check-out images, where a major challenge is the significant …
Iterative knowledge distillation for automatic check-out
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 …
process the purchases of customers automatically. However, it suffers a lot from the domain …