Two Stream Active Query Suggestion for Active Learning in Connectomics

no code implementations • ECCV 2020 • Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel Berger, Brian Matejek, Lee Kamentsky, Adi Peleg, Daniel Haehn, Thouis Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister

As a use case, we build an end-to-end active learning framework with our query suggestion method for 3D synapse detection and mitochondria segmentation in connectomics.

Active Learning Image Classification +1

Emerging Applications of Reversible Data Hiding

no code implementations • 7 Nov 2018 • Dongdong Hou, Weiming Zhang, Jiayang Liu, Siyan Zhou, Dong-Dong Chen, Nenghai Yu

Reversible data hiding (RDH) is one special type of information hiding, by which the host sequence as well as the embedded data can be both restored from the marked sequence without loss.