3 citations · 3 across the 4 of their papers we have counts for
4 papers
Deep Hash Distillation for Image Retrieval
Young Kyun Jang, Geonmo Gu, Byungsoo Ko +2
In hash-based image retrieval systems, degraded or transformed inputs usually generate different codes from the original, deteriorating the retrieval accuracy. To mitigate this iss…
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval
Young Kyun Jang, Nam Ik Cho
Supervised deep learning-based hash and vector quantization are enabling fast and large-scale image retrieval systems. By fully exploiting label annotations, they are achieving out…
Similarity Guided Deep Face Image Retrieval
Young Kyun Jang, Nam Ik Cho
Face image retrieval, which searches for images of the same identity from the query input face image, is drawing more attention as the size of the image database increases rapidly.…
Generalized Product Quantization Network for Semi-supervised Image Retrieval
Young Kyun Jang, Nam Ik Cho
Image retrieval methods that employ hashing or vector quantization have achieved great success by taking advantage of deep learning. However, these approaches do not meet expectati…