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Publication search results
found 25 matches
- 2024
- Anoop Kini, Andreas Jansche, Timo Bernthaler, Gerhard Schneider:
FastCAR: Fast Classification And Regression Multi-Task Learning via Task Consolidation for Modelling a Continuous Property Variable of Object Classes. CoRR abs/2403.17926 (2024) - 2023
- Quentin Bouniot:
Towards Few-Annotation Learning in Computer Vision: Application to Image Classification and Object Detection tasks. (Vers un Apprentissage avec peu d'annotations en Vision par Ordinateur : Application aux tâches de classification d'images et de détection d'objets). Jean Monnet University, Saint-Étienne, France, 2023 - Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang:
AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification. EvoApplications@EvoStar 2023: 623-639 - Yudong Zhang, Wei Lu, Xu Wang, Pengkun Wang, Yang Wang:
Pondering About Task Spatial Misalignment: Classification-Localization Equilibrated Object Detection. ICASSP 2023: 1-5 - Imene Ayat, Djamila Mechta, Saad Harous:
Tasks classification across edge servers nodes using K-means With multi-objective constraints Chebyshev distance. IIT 2023: 162-167 - Quentin Bouniot:
Towards Few-Annotation Learning in Computer Vision: Application to Image Classification and Object Detection tasks. CoRR abs/2311.04888 (2023) - 2022
- Yawen Cui, Qing Liao, Dewen Hu, Wei An, Li Liu:
Coarse-to-fine pseudo supervision guided meta-task optimization for few-shot object classification. Pattern Recognit. 122: 108296 (2022) - Yuichi Omozaki, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
Evolutionary Multi-Objective Multi-Tasking for Fuzzy Genetics-Based Machine Learning in Multi-Label Classification. FUZZ-IEEE 2022: 1-8 - Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-task optimisation for multi-objective feature selection in classification. GECCO Companion 2022: 264-267 - Nathaniel Hanson, Tarik Kelestemur, Deniz Erdogmus, Taskin Padir:
Pregrasp Object Material Classification by a Novel Gripper Design with Integrated Spectroscopy. CoRR abs/2207.00942 (2022) - 2021
- Joanna Grzyb, Mariusz Topolski, Michal Wozniak:
Application of Multi-objective Optimization to Feature Selection for a Difficult Data Classification Task. ICCS (3) 2021: 81-94 - Mayukh Sharma, Ilanthenral Kandasamy, W. B. Vasantha:
YoungSheldon at SemEval-2021 Task 5: Fine-tuning Pre-trained Language Models for Toxic Spans Detection using Token classification Objective. SemEval@ACL/IJCNLP 2021: 953-959 - Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti:
SIRe-Networks: Skip Connections over Interlaced Multi-Task Learning and Residual Connections for Structure Preserving Object Classification. CoRR abs/2110.02776 (2021) - 2020
- Subhajit Das, Shenyu Xu, Michael Gleicher, Remco Chang, Alex Endert:
QUESTO: Interactive Construction of Objective Functions for Classification Tasks. Comput. Graph. Forum 39(3): 153-165 (2020) - Jie Xu, Lin Zhao, Shanshan Zhang, Chen Gong, Jian Yang:
Multi-task learning for object keypoints detection and classification. Pattern Recognit. Lett. 130: 182-188 (2020) - Nikolay Lyabakh, Anna Saryan, Irina Dergacheva, Aleksandr Nebaba, Tatyana Lindenbaum, Victor Panasov:
Development of the Pattern Recognition Theory for Solving the Tasks of Object Classification and Yard Processes. CSOC (3) 2020: 59-68 - Jung Uk Kim, Seong Tae Kim, Eun Sung Kim, Sang-Keun Moon, Yong Man Ro:
Towards High-Performance Object Detection: Task-Specific Design Considering Classification and Localization Separation. ICASSP 2020: 4317-4321 - Yufan Luo, Li Xiao:
G-RCN: Optimizing the Gap between Classification and Localization Tasks for Object Detection. CoRR abs/2012.03677 (2020) - 2019
- Juan Carlos Fernández, Mariano Carbonero-Ruz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Multi-objective evolutionary optimization using the relationship between F 1 and accuracy metrics in classification tasks. Appl. Intell. 49(9): 3447-3463 (2019) - 2018
- Edward Hinojosa Cárdenas, Heloisa A. Camargo:
Multi-objective evolutionary algorithm for tuning the Type-2 inference engine on classification task. Soft Comput. 22(15): 5021-5031 (2018) - Aimee Yun-Fang Lin, Shelley Shwu-Ching Young, Harrison Pang-Sheng Lai, Danna Gurari:
A Preliminary Study on Color and Grayscale Images Object Recognition and Scene Classification Tasks on Amazon Mechanical Turk Crowdsourcing Platform. IHSED 2018: 282-286 - Ahmed J. Afifi, Olaf Hellwich, Toufique Ahmed Soomro:
Simultaneous Object Classification and Viewpoint Estimation using Deep Multi-task Convolutional Neural Network. VISIGRAPP (5: VISAPP) 2018: 177-184 - 2017
- Iacob D. Rus, Paul Marc, Mihaela Dînsoreanu, Rodica Potolea, Raul Cristian Muresan:
Classification of EEG signals in an object recognition task. ICCP 2017: 391-395 - 2014
- Andrew H. Gleibman:
Delegating Custom Object Detection Tasks to a Universal Classification System. CoRR abs/1401.6126 (2014) - 1996
- Stefano Caselli, Ian P. W. Sillitoe, Antonio Visioli, Francesco Zanichelli:
Object classification for robot manipulation tasks based on learning of ultrasonic echoes. IROS 1996: 260-267
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