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Publication search results
found 71 matches
- 2024
- Mansour Mehranfar, Miguel Arturo Vega Torres, Alexander Braun, André Borrmann:
Automated data-driven method for creating digital building models from dense point clouds and images through semantic segmentation and parametric model fitting. Adv. Eng. Informatics 62: 102643 (2024) - Auwalu Saleh Mubarak, Sertan Serte, Fadi M. Al-Turjman, Zubaida Sa'id Ameen:
Data augmentation and denoising of computed tomography scan images in training deep learning models for rapid COVID-19 detection. Int. J. Bus. Intell. Data Min. 24(2): 203-216 (2024) - Samir Benbakreti, Mohamed Benouis, Ahmed Roumane, Soumia Benbakreti:
Impact of the data augmentation on the detection of brain tumor from MRI images based on CNN and pretrained models. Multim. Tools Appl. 83(13): 39459-39478 (2024) - Qiuying Chen, Ronghui Liu, Qingquan Jiang, Shangyue Xu:
Exploring cross-cultural disparities in tourists' perceived images: a text mining and sentiment analysis study using LDA and BERT-BILSTM models. Data Technol. Appl. 58(4): 669-690 (2024) - Yoshiki Ogawa, Ryoto Nakamura, Go Sato, Hiroya Maeda, Yoshihide Sekimoto:
End-to-End Framework for the Automatic Matching of Omnidirectional Street Images and Building Data and the Creation of 3D Building Models. Remote. Sens. 16(11): 1858 (2024) - Kathleen C. Fraser, Svetlana Kiritchenko:
Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images. EACL (1) 2024: 690-713 - Kathleen C. Fraser, Svetlana Kiritchenko:
Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images. CoRR abs/2402.05779 (2024) - Zhipeng Yuan, Nasamu Musa, Katarzyna Dybal, Matthew Back, Daniel Leybourne, Po Yang:
Quantifying Nematodes through Images: Datasets, Models, and Baselines of Deep Learning. CoRR abs/2404.19748 (2024) - Benjamin Camus, Théo Voillemin, Corentin Le Barbu, Jean-Christophe Louvigné, Carole Belloni, Emmanuel Vallée:
Training Deep Learning Models with Hybrid Datasets for Robust Automatic Target Detection on real SAR images. CoRR abs/2405.09588 (2024) - Krishnakant Singh, Thanush Navaratnam, Jannik Holmer, Simone Schaub-Meyer, Stefan Roth:
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images. CoRR abs/2405.20469 (2024) - Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang:
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images. CoRR abs/2406.09408 (2024) - Yutong Zhang, Yi Pan, Tianyang Zhong, Peixin Dong, Kangni Xie, Yuxiao Liu, Hanqi Jiang, Zhengliang Liu, Shijie Zhao, Tuo Zhang, Xi Jiang, Dinggang Shen, Tianming Liu, Xin Zhang:
Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports. CoRR abs/2407.05758 (2024) - 2023
- Neda Dolatabadi, Mohsen Nasseri, Banafsheh Zahraie:
Comparative assessment of surface soil moisture simulations by the coupled wcm-iem vs. data-driven models using the Sentinel 1 and 2 satellite images. Earth Sci. Informatics 16(2): 1563-1584 (2023) - Hongfang Chang, Jiabing Cai, Baozhong Zhang, Zheng Wei, Di Xu:
Early Yield Forecasting of Maize by Combining Remote Sensing Images and Field Data with Logistic Models. Remote. Sens. 15(4): 1025 (2023) - Miguel López-Cuesta, Ricardo Aler, Inés María Galván, Francisco J. Rodríguez-Benítez, David Pozo-Vázquez:
Improving Solar Radiation Nowcasts by Blending Data-Driven, Satellite-Images-Based and All-Sky-Imagers-Based Models Using Machine Learning Techniques. Remote. Sens. 15(9): 2328 (2023) - Ling-Feng Liao, Deeksha Arya, Yoshihide Sekimoto:
Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial Images. IEEE Big Data 2023: 738-747 - Zaid Khan, B. G. Vijay Kumar, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker:
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CVPR 2023: 15005-15015 - Reza Akbarian Bafghi, Danna Gurari:
A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories. CVPR 2023: 16261-16270 - Zhenyu Wu, Zhenyuan Zhang, Zhiyang Ding, Joel J. P. C. Rodrigues:
IMG2InChI: Extracting Molecular Big Data from Chemical Images Using Transformer Models. GLOBECOM 2023: 308-313 - Mahmut Çevik, Murat Ceylan:
Performance Evaluation of Convolutional Segmentation Models with Human Hand Thermal Images (H2TI) Dataset. AIIIMA@MICCAI 2023: 80-90 - Mokshagna Sai Teja Karanam, Tushar Kataria, Krithika Iyer, Shireen Y. Elhabian:
ADASSM: Adversarial Data Augmentation in Statistical Shape Models from Images. ShapeMI@MICCAI 2023: 90-104 - Kirubel Biruk Shiferaw, Atinkut Zeleke, Dagmar Waltemath:
Assessing the FAIRness of Deep Learning Models in Cardiovascular Disease Using Computed Tomography Images: Data and Code Perspective. MIE 2023: 63-67 - Zhipeng Yuan, Nasamu Musa, Katarzyna Dybal, Matthew Back, Daniel Leybourne, Po Yang:
Quantifying Nematodes through Images: Datasets, Models, and Baselines of Deep Learning. TrustCom 2023: 2448-2455 - Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker:
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CoRR abs/2306.03932 (2023) - Mokshagna Sai Teja Karanam, Tushar Kataria, Shireen Y. Elhabian:
ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images. CoRR abs/2307.03273 (2023) - 2022
- Philipp Harzig:
Automatic generation of natural language descriptions of visual data: describing images and videos using recurrent and self-attentive models. University of Augsburg, Germany, 2022 - Emna Amri, Pierre Dardouillet, Alexandre Benoît, Hermann Courteille, Philippe Bolon, Dominique Dubucq, Anthony Credoz:
Offshore Oil Slick Detection: From Photo-Interpreter to Explainable Multi-Modal Deep Learning Models Using SAR Images and Contextual Data. Remote. Sens. 14(15): 3565 (2022) - Michail Tarasiou, Stefanos Zafeiriou:
Deepsatdata: Building Large Scale Datasets of Satellite Images for Training Machine Learning Models. IGARSS 2022: 4070-4073 - Matthew I. Swindall, Timothy Player, Ben Keener, Alex C. Williams, James H. Brusuelas, Federica Nicolardi, Marzia D'Angelo, Claudio Vergara, Michael McOsker, John F. Wallin:
Dataset Augmentation in Papyrology with Generative Models: A Study of Synthetic Ancient Greek Character Images. IJCAI 2022: 4973-4979 - Adriana Carrillo Rios, Anselmo Rafael Cukla, Marco Antonio De Souza Leite Quadros, Daniel Fernando Tello Gamarra:
Comparison of the YOLOv3 and SSD Models Using a Balanced Dataset with Data Augmentation, for Object Recognition in Images. LARS/SBR/WRE 2022: 288-293
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