IJCV Special Issue 2023

 

Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-grained Classification

Dimitri Korsch, Maha Shadaydeh & Joachim Denzler 

https://link.springer.com/article/10.1007/s11263-025-02453-z

 

FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms

Lea Bogensperger, Dominik Narnhofer, Alexander Falk, Konrad Schindler & Thomas Pock 

https://link.springer.com/article/10.1007/s11263-025-02373-y

 

Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation

Sudhanshu Mittal, Joshua Niemeijer, Özgün Çiçek, Maxim Tatarchenko, Jan Ehrhardt, Jörg P. Schäfer, Heinz Handels & Thomas Brox 

https://link.springer.com/article/10.1007/s11263-025-02372-z

 

LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds

Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann & Matthias Rottmann 

https://link.springer.com/article/10.1007/s11263-025-02377-8

 

DustNet++: Deep Learning-Based Visual Regression for Dust Density Estimation

Andreas Michel, Martin Weinmann, Jannick Kuester, Faisal AlNasser, Tomas Gomez, Mark Falvey, Rainer Schmitz, Wolfgang Middelmann & Stefan Hinz 

https://link.springer.com/article/10.1007/s11263-025-02376-9

 

An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance Prediction to Model Robustness

Jovita Lukasik, Michael Moeller & Margret Keuper 

https://link.springer.com/article/10.1007/s11263-024-02265-7