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Automatic Document Logo Detection

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007
Automatic logo detection and recognition continues to be of great interest to the document retrieval community as it enables effective identification of the source of a document. In this paper, we propose a new approach to logo detection and extraction in document images that robustly classifies and precisely localizes logos using a boosting strategy ...
Guangyu Zhu 0004, David S. Doermann
openaire   +1 more source

Automatic Sarcasm Detection: Systematic Literature Review

Information (Switzerland), 2022
Stefan Trausan-Matu
exaly  

Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques

AgriEngineering, 2021
Amith Khandakar   +2 more
exaly  

Automatic Urban Scene-Level Binary Change Detection Based on a Novel Sample Selection Approach and Advanced Triplet Neural Network

IEEE Transactions on Geoscience and Remote Sensing, 2023
Cong Lin, Xin Wang, Shanchuan Guo
exaly  

Automatic learning for object detection

Neurocomputing, 2022
Xiang Zhang 0018   +7 more
openaire   +2 more sources

Automatic ruler detection

2021
HOUGEN DARRELL, LO PETER ZHEN-PING
openaire   +2 more sources

Towards Automatic Depression Detection: A BiLSTM/1D CNN-Based Model

Applied Sciences (Switzerland), 2020
Ying Shen, Lin Zhang, Xuri Chen
exaly  

An automatic pothole detection algorithm using pavement 3D data

International Journal of Pavement Engineering, 2023
Gaetano Bosurgi   +2 more
exaly  

A review of automatic mass detection and segmentation in mammographic images

Medical Image Analysis, 2010
Jordi Freixenet   +2 more
exaly  

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