15 citations · 17 across the 6 of their papers we have counts for
3 papers · 1 filter
Deep Hashing with Triplet Quantization Loss
Yuefu Zhou, Shanshan Huang, Ya Zhang +1
With the explosive growth of image databases, deep hashing, which learns compact binary descriptors for images, has become critical for fast image retrieval. Many existing deep has…
Unsupervised Triplet Hashing for Fast Image Retrieval
Shanshan Huang, Yichao Xiong, Ya Zhang +1
Hashing has played a pivotal role in large-scale image retrieval. With the development of Convolutional Neural Network (CNN), hashing learning has shown great promise. But existing…
Calculating Probabilities Simplifies Word Learning
Aida Nematzadeh, Barend Beekhuizen, Shanshan Huang +1
Children can use the statistical regularities of their environment to learn word meanings, a mechanism known as cross-situational learning. We take a computational approach to inve…