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Publication search results
found 52 matches
- 2024
- Dipendra J. Mandal, Hilda Deborah, Tabita L. Tobing, Mateusz Janiszewski, James W. Tanaka, Anna Lawrance:
Comprehensive Evaluation of ImageNet-Trained CNNs for Texture-Based Rock Classification. IEEE Access 12: 94765-94783 (2024) - Thanh-Nghi Do, Minh-Thu Tran-Nguyen:
ImageNet classification with Raspberry Pis: federated learning algorithms of local classifiers. Int. J. Web Inf. Syst. 20(1): 48-65 (2024) - Ankita Chatterjee, Jayanta Mukhopadhyay, Partha Pratim Das:
ImageNet Classification Using WordNet Hierarchy. IEEE Trans. Artif. Intell. 5(4): 1718-1727 (2024) - Yuning Huang, Jingchen Zou, Lanxi Meng, Xin Yue, Qing Zhao, Jianqiang Li, Changwei Song, Gabriel Jimenez, Shaowu Li, Guanghui Fu:
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification. COMPSAC 2024: 297-305 - Xiangyong Lu, Masanori Suganuma, Takayuki Okatani:
SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers. WACV 2024: 1112-1122 - Momchil Peychev, Mark Niklas Müller, Marc Fischer, Martin T. Vechev:
Automated Classification of Model Errors on ImageNet. CoRR abs/2401.02430 (2024) - Yuning Huang, Jingchen Zou, Lanxi Meng, Xin Yue, Qing Zhao, Jianqiang Li, Changwei Song, Gabriel Jimenez, Shaowu Li, Guanghui Fu:
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification. CoRR abs/2402.07595 (2024) - 2023
- Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet:
Synthetic Data from Diffusion Models Improves ImageNet Classification. Trans. Mach. Learn. Res. 2023 (2023) - Maria Lymperaiou, Konstantinos Thomas, Giorgos Stamou:
Fine-Grained ImageNet Classification in the Wild. AAAI Spring Symposium: MAKE 2023 - Fernando López-García, José Miguel Valiente González, Isabel Escriche-Roberto, Marisol Juan-Borrás, Mario Visquert-Fas, Vicente Luis Atienza Vanacloig, Manuel Agustí-Melchor:
Classification of Honey Pollens with ImageNet Neural Networks. CAIP (2) 2023: 192-200 - 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 - Momchil Peychev, Mark Niklas Müller, Marc Fischer, Martin T. Vechev:
Automated Classification of Model Errors on ImageNet. NeurIPS 2023 - Mohammad Reza Taesiri, Giang Nguyen, Sarra Habchi, Cor-Paul Bezemer, Anh Nguyen:
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification. NeurIPS 2023 - Ebrahim Ali Nehary, Sreeraman Rajan, Carlos Rossa:
Comparison of COVID-19 Classification via Imagenet-Based and RadImagenet-Based Transfer Learning Models with Random Frame Selection. SAS 2023: 1-6 - Andres Palechor, Annesha Bhoumik, Manuel Günther:
Large-Scale Open-Set Classification Protocols for ImageNet. WACV 2023: 42-51 - Matthias Bauer, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim:
Spatial Functa: Scaling Functa to ImageNet Classification and Generation. CoRR abs/2302.03130 (2023) - Maria Lymperaiou, Konstantinos Thomas, Giorgos Stamou:
Fine-Grained ImageNet Classification in the Wild. CoRR abs/2303.02400 (2023) - Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet:
Synthetic Data from Diffusion Models Improves ImageNet Classification. CoRR abs/2304.08466 (2023) - Xiangyong Lu, Masanori Suganuma, Takayuki Okatani:
SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers. CoRR abs/2311.03747 (2023) - 2022
- Thanh-Nghi Do, Minh-Thu Tran-Nguyen:
ImageNet Challenging Classification with the Raspberry Pis: A Federated Learning Algorithm of Local Stochastic Gradient Descent Models. FDSE (CCIS Volume) 2022: 131-144 - Thanh-Nghi Do:
ImageNet Challenging Classification with the Raspberry Pi: An Incremental Local Stochastic Gradient Descent Algorithm. CoRR abs/2203.11853 (2022) - Palechor Anacona, Annesha Bhoumik, Manuel Günther:
Large-Scale Open-Set Classification Protocols for ImageNet. CoRR abs/2210.06789 (2022) - 2021
- Jihye Moon, Md Billal Hossain, Ki H. Chon:
AR and ARMA model order selection for time-series modeling with ImageNet classification. Signal Process. 183: 108026 (2021) - Hayet Benbrahim, Ali Behloul:
Fine-tuned Xception for Image Classification on Tiny ImageNet. AI-CSP 2021: 1-4 - Yixiao Ge, Ching Lam Choi, Xiao Zhang, Peipei Zhao, Feng Zhu, Rui Zhao, Hongsheng Li:
Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification. CoRR abs/2104.13298 (2021) - Yihan Lin, Wei Ding, Shaohua Qiang, Lei Deng, Guoqi Li:
ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks. CoRR abs/2110.12211 (2021) - 2020
- Qizhe Xie, Minh-Thang Luong, Eduard H. Hovy, Quoc V. Le:
Self-Training With Noisy Student Improves ImageNet Classification. CVPR 2020: 10684-10695 - Li Wang, Ting Liu, Bing Wang, Jie Lin, Xulei Yang, Gang Wang:
Object Tracking Via ImageNet Classification Scores. ICIP 2020: 2101-2105 - Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry:
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks. ICML 2020: 9625-9635 - Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry:
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks. CoRR abs/2005.11295 (2020)
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