A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval.

Lucas Pascotti Valem|Daniel Carlos Guimarães Pedronette


Anthology ID:DBLP:conf/mir/ValemP21
Volume:ICMR '21: International Conference on Multimedia Retrieval, Taipei, Taiwan, August 21-24, 2021
Year:2021
Venue:International Conference on Multimedia Retrieval (ICMR)
Publisher:ACM
Pages:294-302
URL:https://doi.org/10.1145/3460426.3463645
DOI:https://doi.org/10.1145/3460426.3463645
DBLP:conf/mir/ValemP21
BibTeX:
@inproceedings{valem-2021-denoising, author = {Lucas Pascotti Valem and Daniel Carlos Guimar\~{a}es Pedronette}, editor = {Wen-Huang Cheng and Mohan Kankanhalli and Meng Wang and Wei-Ta Chu and Jiaying Liu and Marcel Worring}, title = {{A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval}}, booktitle = {{ICMR '21: International Conference on Multimedia Retrieval, Taipei, Taiwan, August 21-24, 2021}}, pages = {294--302}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3460426.3463645}, doi = {https://doi.org/10.1145/3460426.3463645} }