Billion-scale pretraining with vision transformers for multi-task visual representations
Large-scale pretraining of visual representations has led to state-of-the-art performance on a
range of benchmark computer vision tasks, yet the benefits of these techniques at extreme …
range of benchmark computer vision tasks, yet the benefits of these techniques at extreme …
Improving text-based similar product recommendation for dynamic product advertising at yahoo
X Bai, L Duan, R Tang, G Batra, R Agrawal - Proceedings of the 31st …, 2022 - dl.acm.org
Retrieving similar products is a critical functionality required by many e-commerce websites
as well as dynamic product advertising systems. Retargeting and Prospecting are two major …
as well as dynamic product advertising systems. Retargeting and Prospecting are two major …
" Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops
PJ Chia, B Yu, J Tagliabue - arXiv preprint arXiv:2107.03256, 2021 - arxiv.org
Large eCommerce players introduced comparison tables as a new type of
recommendations. However, building comparisons at scale without pre-existing …
recommendations. However, building comparisons at scale without pre-existing …
Multimodal fine-grained grocery product recognition using image and OCR text
Automatic recognition of grocery products can be used to improve customer flow at
checkouts and reduce labor costs and store losses. Product recognition is, however, a …
checkouts and reduce labor costs and store losses. Product recognition is, however, a …
How well do offline metrics predict online performance of product ranking models?
Online evaluation techniques are widely adopted by industrial search engines to determine
which ranking models perform better under a certain business metric. However, online …
which ranking models perform better under a certain business metric. However, online …
[PDF][PDF] Explainable Local and Global Models for Fine-Grained Multimodal Product Recognition
T Pettersson, M Riveiro… - … with 29th ACM …, 2023 - multimodal-kdd-2023.github.io
Grocery product recognition techniques are emerging in the retail sector and are used to
provide automatic checkout counters, reduce self-checkout fraud, and support inventory …
provide automatic checkout counters, reduce self-checkout fraud, and support inventory …
Specification and Identification of Relationships between Products in the Food Segment
S Brumm, R Krieger, C Brosch - Proceedings of the …, 2024 - journals.hs-offenburg.de
There are numerous relationships between products in retail. Understanding these
relationships is particularly valuable for optimizing e-commerce, master data management …
relationships is particularly valuable for optimizing e-commerce, master data management …
Visually Compatible Home Decor Recommendations Using Object Detection and Product Matching
Automatically recommending visually compatible products to Home Decor shoppers is a
challenging task for ecommerce companies in the home improvement domain. However …
challenging task for ecommerce companies in the home improvement domain. However …
[PDF][PDF] E-commerce Product Similarity Match Detection using Product Text and Images
K Hari Krishnan - 2021 - norma.ncirl.ie
The online merchants and users supply rich data everyday on e-commerce websites, this
only gets bigger in this era of data growth allowing more scope for research advancements …
only gets bigger in this era of data growth allowing more scope for research advancements …
[引用][C] E-commerce Product Similarity Match Detection using Product Text and Images
HK Kannan - 2021