no code implementations • 2 Jun 2022 • Zu Kim, André Araujo, Bingyi Cao, Cam Askew, Jack Sim, Mike Green, N'Mah Fodiatu Yilla, Tobias Weyand
We showcase its application to the landmark recognition domain, presenting a detailed analysis and the final fairer landmark rankings.
no code implementations • 19 Aug 2021 • Zu Kim, André Araujo, Bingyi Cao, Cam Askew, Jack Sim, Mike Green, N'Mah Fodiatu Yilla, Tobias Weyand
To create a more comprehensive and equitable dataset, we start by defining the fair relevance of a landmark to the world population.
1 code implementation • CVPR 2021 • Quin Thames, Arjun Karpur, Wade Norris, Fangting Xia, Liviu Panait, Tobias Weyand, Jack Sim
Understanding the nutritional content of food from visual data is a challenging computer vision problem, with the potential to have a positive and widespread impact on public health.
4 code implementations • 3 Apr 2020 • Tobias Weyand, Andre Araujo, Bingyi Cao, Jack Sim
GLDv2 is the largest such dataset to date by a large margin, including over 5M images and 200k distinct instance labels.
Ranked #1 on Landmark Recognition on Google Landmarks Dataset v2 (recognition, validation) (using extra training data)
4 code implementations • ECCV 2020 • Bingyi Cao, Andre Araujo, Jack Sim
Image retrieval is the problem of searching an image database for items that are similar to a query image.
3 code implementations • CVPR 2019 • Marvin Teichmann, Andre Araujo, Menglong Zhu, Jack Sim
Then, we demonstrate how a trained landmark detector, using our new dataset, can be leveraged to index image regions and improve retrieval accuracy while being much more efficient than existing regional methods.
no code implementations • ECCV 2018 • Paul Hongsuck Seo, Tobias Weyand, Jack Sim, Bohyung Han
Image geolocalization is the task of identifying the location depicted in a photo based only on its visual information.
Ranked #1 on Photo geolocation estimation on Im2GPS (Reference images metric)
no code implementations • CVPR 2017 • Bohyung Han, Jack Sim, Hartwig Adam
We propose an extremely simple but effective regularization technique of convolutional neural networks (CNNs), referred to as BranchOut, for online ensemble tracking.
12 code implementations • ICCV 2017 • Hyeonwoo Noh, Andre Araujo, Jack Sim, Tobias Weyand, Bohyung Han
We propose an attentive local feature descriptor suitable for large-scale image retrieval, referred to as DELF (DEep Local Feature).
Ranked #2 on Image Retrieval on Oxf105k