Context-guided feature enhancement network for automatic check-out
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06394-9
Abstract: Powered by deep learning technology, automatic check-out (ACO) has made great breakthroughs. Nevertheless, because of the complex nature of real scenes, ACO is still an exceedingly testing task in the field of computer vision. Existing… read more here.
Keywords: feature; context; context guided; guided feature ... See more keywords
Self-Supervised Multi-Category Counting Networks for Automatic Check-Out
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3163527
Abstract: The practical task of Automatic Check-Out (ACO) is to accurately predict the presence and count of each product in an arbitrary product combination. Beyond the large-scale and the fine-grained nature of product categories as its… read more here.
Keywords: self supervised; supervised multi; check; category counting ... See more keywords