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Papers matching “object distribution” 112

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Adversarial Examples on Object Recognition
2020 ACM Computing Surveys article Computer Science Adversarial Robustness in Machine Learning Open access

Alex Serban, Erik Poll, Joost Visser

139

citations
Adversarial Examples on Object Recognition: A Comprehensive Survey
2020 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Alex Serban, Erik Poll, Joost Visser

11

citations
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections
2020 Lecture notes in computer science conference-paper Computer Science Advanced Neural Network Applications Open access cited by 2 patents

Theodora Kontogianni, Michael Gygli, Jasper Uijlings, Vittorio Ferrari

62

citations
Adaptive Fine-Grained Feature Mining and RoI Feature Interaction Network for Small Object Detection in Aerial Images
2025 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Neural Network Applications

Zhan Xiong, Zhuoyue Wang, Guoqiang Xiao

1

citations
Test-Time Adaptation of a Multi-Class Object Localization and Size Estimation Framework for Smart Agriculture Applications
2025 Cognitive Computation article Computer Science Domain Adaptation and Few-Shot Learning Open access

Zixu Liu, Qinhao Wu, Yuan Chai, Huan Yu

0

citations
DiSSCover the Potential of FAIR Digital Object Annotations and How You Can Use Them!
2024 Biodiversity Information Science and Standards article Computer Science Research Data Management Practices Open access

Tom Dijkema, Sam Leeflang

0

citations
4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation
2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Lars Kreuzberg, Idil Esen Zulfikar, Sabarinath Mahadevan, Francis Engelmann, Bastian Leibe

0

citations
OoDIS: Anomaly Instance Segmentation and Detection Benchmark
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Rui Zhou, Miriam Ackermann, Alexander Hermans, Bastian Leibe, Matthias Rottmann

1

citations
An Integrative Architecture Language Approach
2024 Springer eBooks book-chapter Computer Science Advanced Software Engineering Methodologies

Manfred Nagl

0

citations
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan

0

citations
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan

0

citations
Multi-Objective Optimization for IoT Tasks based Data Replication Placement in Fog Computing
2022 Research Square preprint Computer Science Cloud Computing and Resource Management Open access

Ahmed Awad Mohamed, Alhanouf Alburaikan, Hamiden Abd El‐Wahed Khalifa, Mohamed Abd Elaziz, Laith Abualigah, Ahmed M. AbdelMouty

1

citations
OoDIS: Anomaly Instance Segmentation and Detection Benchmark
2025 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Advanced Neural Network Applications

Rui Zhou, Miriam Ackermann, Alexander Hermans, Bastian Leibe, Matthias Rottmann

3

citations
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations
2022 conference-paper Computer Science Anomaly Detection Techniques and Applications Open access cited by 1 patent

Oliver Rippel, Arnav Chavan, Chucai Lei, Dorit Merhof

16

citations
Generate What You Can Make: Achieving in-house synthesizability with readily available resources in de novo drug design
2024 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Alan Kai Hassen, Martin Šícho, Yorick J. van Aalst, Mirjam C. W. Huizenga, Darcy N. R. Reynolds, Sohvi Luukkonen, +5 more

3

citations
Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations
2023 conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Kirill Antonov, Anna V. Kononova, Thomas Bäck, Bas van Stein

2

citations
Selection of Filters for Photonic Crystal Spectrometer Using Domain-Aware Evolutionary Algorithms
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Kirill Antonov, Marijn E. Siemons, Bas van Stein, Thomas Bäck, Ralf Kohlhaas, Anna V. Kononova

1

citations
A Mean-Field Theory of Transformers: Well-Posedness of the Coupled Data--Parameter Dynamics and Global Convergence of Training
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Michael Herty, Hailiang Liu

0

citations
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics
2022 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access

Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck

61

citations
Deep BIAS: Detecting Structural Bias using Explainable AI
2023 conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova

13

citations
Residual bayesian attention networks for uncertainty quantification in regression tasks
2025 Scientific Reports article Computer Science Gaussian Processes and Bayesian Inference Open access

Youliang Chen, Wencan Guan, Rafig Azzam

10

citations
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics
2020 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck

0

citations
Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Kirill Antonov, Anna V. Kononova, Thomas Bäck, Bas van Stein

0

citations
When accurate prediction models yield harmful self-fulfilling prophecies
2023 Pure Amsterdam UMC preprint Computer Science Machine Learning in Healthcare

Wouter A. C. van Amsterdam, Nan van Geloven, Jesse H. Krijthe, Rajesh Ranganath, Giovanni Cinà

0

citations
The Impact of Crowdsourcing Projects in the Digitisation Effort of European Herbaria
2025 Biodiversity Information Science and Standards article Computer Science Research Data Management Practices Open access

Giulia Micai, Wouter Addink, Anton Güntsch, Heimo Rainer

0

citations