28 citations · 40 across the 7 of their papers we have counts for
7 papers
The Effects of Short Video-Sharing Services on Video Copy Detection
Rintaro Yanagi, Yamato Okamoto, Shuhei Yokoo +1
The short video-sharing services that allow users to post 10-30 second videos (e.g., YouTube Shorts and TikTok) have attracted a lot of attention in recent years. However, conventi…
Leveraging Image-Text Similarity and Caption Modification for the DataComp Challenge: Filtering Track and BYOD Track
Shuhei Yokoo, Peifei Zhu, Yuchi Ishikawa +3
Large web crawl datasets have already played an important role in learning multimodal features with high generalization capabilities. However, there are still very limited studies…
3rd Place Solution to Meta AI Video Similarity Challenge
Shuhei Yokoo, Peifei Zhu, Junki Ishikawa +1
This paper presents our 3rd place solution in both Descriptor Track and Matching Track of the Meta AI Video Similarity Challenge (VSC2022), a competition aimed at detecting video c…
Results and findings of the 2021 Image Similarity Challenge
Zoë Papakipos, Giorgos Tolias, Tomas Jenicek +11
The 2021 Image Similarity Challenge introduced a dataset to serve as a new benchmark to evaluate recent image copy detection methods. There were 200 participants to the competition…
Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection
Shuhei Yokoo
Copy detection, which is a task to determine whether an image is a modified copy of any image in a database, is an unsolved problem. Thus, we addressed copy detection by training c…
Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval
Shuhei Yokoo, Kohei Ozaki, Edgar Simo-Serra +1
We propose an efficient pipeline for large-scale landmark image retrieval that addresses the diversity of the dataset through two-stage discriminative re-ranking. Our approach is b…
Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse Dataset
Kohei Ozaki, Shuhei Yokoo
The Google-Landmarks-v2 dataset is the biggest worldwide landmarks dataset characterized by a large magnitude of noisiness and diversity. We present a novel landmark retrieval/reco…