9 citations · 9 across the 4 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.CV2020★ 9 cited
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
Mohamed Yousef, Tom E. Bishop
Text recognition is a major computer vision task with a big set of associated challenges. One of those traditional challenges is the coupled nature of text recognition and segmenta…
cs.LG2020
Learning to hash with semantic similarity metrics and empirical KL divergence
Heikki Arponen, Tom E. Bishop
Learning to hash is an efficient paradigm for exact and approximate nearest neighbor search from massive databases. Binary hash codes are typically extracted from an image by round…