Guest Editorial: Special Issue on Performance Evaluation in Computer Vision-Reference-Cited by-同舟云学术

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Guest Editorial: Special Issue on Performance Evaluation in Computer Vision

Published:2021-04-28 Issue:7 Volume:129 Page:2029-2030
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Scharstein Daniel,Dai Angela,Kondermann Daniel,Sattler Torsten,Schindler Konrad

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s11263-021-01455-x.pdf

Reference18 articles.

1. Jin, Y., Mishkin, D., Mishchuk, A., Matas, J., Fua, P., Yi, K. M., & Trulls, E. (2021). Image Matching Across Wide Baselines: From Paper to Practice. International Journal of Computer Vision, 129, 517–547. https://doi.org/10.1007/s11263-020-01385-0

2. Jensen, S. H. N.., Doest, M. E. B., Aanæs, H., & Del Bue, A. (2021). A Benchmark and Evaluation of Non-Rigid Structure from Motion. International Journal of Computer Vision, 129, 882–899. https://doi.org/10.1007/s11263-020-01406-y

3. Fan, H. et al. (2021). LaSOT: A High-quality Large-scale Single Object Tracking Benchmark. International Journal of Computer Vision, 129, 439–461. https://doi.org/10.1007/s11263-020-01387-y

4. Dendorfer, P., Os̆ep, A., Milan, A., Schindler, K., Cremers, D., Reid, I., Roth, S., & Leal-Taixé, L. (2021). MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking. International Journal of Computer Vision, 129, 845–881. https://doi.org/10.1007/s11263-020-01393-0

5. Li, S. et al. (2021). A Comprehensive Benchmark Analysis of Single Image Deraining: Current Challenges and Future Perspectives. International Journal of Computer Vision, 129, 1301–1322. https://doi.org/10.1007/s11263-020-01416-w

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