What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition.

Shahin Sharifi Noorian|Sihang Qiu|Ujwal Gadiraju|Jie Yang|Alessandro Bozzon


Anthology ID:DBLP:conf/www/NoorianQG0B22
Volume:WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
Year:2022
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:882-892
URL:https://doi.org/10.1145/3485447.3512040
DOI:https://doi.org/10.1145/3485447.3512040
DBLP:conf/www/NoorianQG0B22
BibTeX:
@inproceedings{noorian-2022-know, author = {Shahin Sharifi Noorian and Sihang Qiu and Ujwal Gadiraju and Jie Yang and Alessandro Bozzon}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {882--892}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3512040}, doi = {https://doi.org/10.1145/3485447.3512040} }