Datasets and methods of product recognition on grocery shelf images using computer vision and machine learning approaches: An exhaustive literature review
A product recognition system recognizes all products on the shelf images and determines
their positions. A business equipped with an automatic product recognition system has a …
their positions. A business equipped with an automatic product recognition system has a …
Towards a smaller student: Capacity dynamic distillation for efficient image retrieval
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In the field of object detector attacks, previous methods primarily rely on fixed gradient
optimization or patch-based cover techniques, often leading to suboptimal attack …
optimization or patch-based cover techniques, often leading to suboptimal attack …
Improving Domain Generalization by Learning without Forgetting: Application in Retail Checkout
Designing an automatic checkout system for retail stores at the human level accuracy is
challenging due to similar appearance products and their various poses. This paper …
challenging due to similar appearance products and their various poses. This paper …
Densely packed object detection with transformer-based head and EM-merger
Due to the high density of objects and their varying sizes, detecting them accurately and
without repetition in such scenarios is more challenging than traditional object detection …
without repetition in such scenarios is more challenging than traditional object detection …
Deep IoU Network for Dense Rebar Object Detection
Typically, dense rebar detection scenes comprise cross-sections of hundreds or even
thousands of rebars. We demonstrate that most commonly used object detectors still have …
thousands of rebars. We demonstrate that most commonly used object detectors still have …