DExT: Detector Explanation Toolkit
| Document Type: | Conference Object |
|---|---|
| Language: | English |
| Author: | Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro |
| Parent Title (English): | Longo (Ed.): Explainable Artificial Intelligence. First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part II |
| Number of pages: | 24 |
| First Page: | 433 |
| Last Page: | 456 |
| ISBN: | 978-3-031-44066-3 |
| DOI: | https://doi.org/10.1007/978-3-031-44067-0_23 |
| Publisher: | Springer |
| Place of publication: | Cham |
| Date of first publication: | 2023/10/21 |
| Copyright: | © 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG |
| Keywords: | Explainability; Human-centric evaluation; Object detectors; Quantitative evaluation; Saliency methods |
| Departments, institutes and facilities: | Fachbereich Informatik |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Entry in this database: | 2024/10/30 |
