Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Kislyuk, Dmitry"'
Text-to-image diffusion models are a class of deep generative models that have demonstrated an impressive capacity for high-quality image generation. However, these models are susceptible to implicit biases that arise from web-scale text-image traini
Externí odkaz:
http://arxiv.org/abs/2401.12244
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 scale in complex production systems has been relatively unexplore
Externí odkaz:
http://arxiv.org/abs/2108.05887
Transformers have become the dominant model in natural language processing, owing to their ability to pretrain on massive amounts of data, then transfer to smaller, more specific tasks via fine-tuning. The Vision Transformer was the first major attem
Externí odkaz:
http://arxiv.org/abs/2012.09958
Autor:
Liu, David C., Rogers, Stephanie, Shiau, Raymond, Kislyuk, Dmitry, Ma, Kevin C., Zhong, Zhigang, Liu, Jenny, Jing, Yushi
Related Pins is the Web-scale recommender system that powers over 40% of user engagement on Pinterest. This paper is a longitudinal study of three years of its development, exploring the evolution of the system and its components from prototypes to p
Externí odkaz:
http://arxiv.org/abs/1702.07969
Autor:
Zhai, Andrew, Kislyuk, Dmitry, Jing, Yushi, Feng, Michael, Tzeng, Eric, Donahue, Jeff, Du, Yue Li, Darrell, Trevor
Over the past three years Pinterest has experimented with several visual search and recommendation services, including Related Pins (2014), Similar Looks (2015), Flashlight (2016) and Lens (2017). This paper presents an overview of our visual discove
Externí odkaz:
http://arxiv.org/abs/1702.04680
This paper presents Pinterest Related Pins, an item-to-item recommendation system that combines collaborative filtering with content-based ranking. We demonstrate that signals derived from user curation, the activity of users organizing content, are
Externí odkaz:
http://arxiv.org/abs/1511.04003
Autor:
Jing, Yushi, Liu, David, Kislyuk, Dmitry, Zhai, Andrew, Xu, Jiajing, Donahue, Jeff, Tavel, Sarah
We demonstrate that, with the availability of distributed computation platforms such as Amazon Web Services and open-source tools, it is possible for a small engineering team to build, launch and maintain a cost-effective, large-scale visual search s
Externí odkaz:
http://arxiv.org/abs/1505.07647
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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 scale in complex production systems has been relatively unexplore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c59c8e85d73f6df6c217ef23d802bdf
https://doi.org/10.1109/wacv51458.2022.00150
https://doi.org/10.1109/wacv51458.2022.00150
