CAPTCHA-based image annotation

Author:

Kwon ShinilORCID,Cha SungdeokORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Signal Processing,Theoretical Computer Science

Reference12 articles.

1. Imagenet large scale visual recognition challenge;Russakovsky;Int. J. Comput. Vis.,2015

2. Internet Trends;Meeker,2014

3. A paradigm shift for the CAPTCHA race: adding uncertainty to the process;Kwon;IEEE Softw.,2016

4. Asirra: a CAPTCHA that exploits interest-aligned manual image categorization;Elson,2007

5. Ethics and tactics of professional crowd work;Silberman;XRDS,2010

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1. Image CAPTCHAs: When Deep Learning Breaks the Mold;IEEE Access;2024

2. A Transparent CAPTCHAS Verification System for Cloud-Based Smart and Secure Applications;2023 IEEE International Smart Cities Conference (ISC2);2023-09-24

3. Development of semi-automatic image annotation using object recognition;2023 14th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI);2023-07-08

4. CAPTCHA for crowdsourced image annotation: directions and efficiency analysis;Aslib Journal of Information Management;2022-01-04

5. AI Object Detection, Holographic Hybrid Reality and Haemodynamic Response to Construction Site Safety Risks;Current State of Art in Artificial Intelligence and Ubiquitous Cities;2022

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