The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Leafsnap: A Computer Vision System for Automatic Plant Species Identification
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Citations
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
Oliva, A., & Torralba, A. (2001) · International Journal of Computer Vision · doi:10.1023/a:1011139631724 · Cited by 6,319
Automated Flower Classification over a Large Number of Classes
Nilsback, M.-E., & Zisserman, A. (2008) · 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing · doi:10.1109/icvgip.2008.47 · Cited by 3,442
Shape Classification Using the Inner-Distance
Ling, H., & Jacobs, D. W. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.41 · Cited by 1,069
Self-citationClassCut for Unsupervised Class Segmentation
Alexe, B., Deselaers, T., & Ferrari, V. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-15555-0_28 · Cited by 993
The Efficiency of Logistic Regression Compared to Normal Discriminant Analysis
Efron, B. (1975) · Journal of the American Statistical Association · doi:10.1080/01621459.1975.10480319 · Cited by 567
Visual Recognition with Humans in the Loop
Branson, S., Wah, C., Schroff, F., Babenko, B., Welinder, P., Perona, P., & Belongie, S. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-15561-1_32 · Cited by 402
Evaluation of GIST descriptors for web-scale image search
Douze, M., Jégou, H., Sandhawalia, H., Amsaleg, L., & Schmid, C. (2009) · Proceedings of the ACM International Conference on Image and Video Retrieval · doi:10.1145/1646396.1646421 · Cited by 394
Integral Invariants for Shape Matching
Manay, S., Cremers, D., Hong, B.-W., Yezzi, A. J., & Soatto, S. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.208 · Cited by 234
Cited by
The iNaturalist Species Classification and Detection Dataset
Van Horn, G., Mac Aodha, O., Song, Y., Cui, Y., Sun, C., Shepard, A., Adam, H., Perona, P., & Belongie, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00914 · Cited by 1,451
Recognition in Terra Incognita
Beery, S., Van Horn, G., & Perona, P. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-01270-0_28 · Cited by 679
Bird Species Categorization Using Pose Normalized Deep Convolutional Nets
Branson, S., Horn, G. V., Belongie, S., & Perona, P. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1406.2952 · Cited by 559
Zheng, Y.-Y., Kong, J.-L., Jin, X.-B., Wang, X.-Y., Su, T.-L., & Zuo, M. (2019) · Sensors · doi:10.3390/s19051058 · Cited by 462
A Benchmark for Automatic Visual Classification of Clinical Skin Disease Images
Sun, X., Yang, J., Sun, M., & Wang, K. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46466-4_13 · Cited by 197
Metadata
- Authors
- Kumar, N., Belhumeur, P. N., Biswas, A., Jacobs, D. W., Kress, W. J., Lopez, I. C., & Soares, J. V. B.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2012
- Pages
- 502-516
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2213241010
- Cited by
- 802
- References
- 14
- FWCI
- 36.24
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Leafsnap: A Computer Vision System for Automatic Plant Species Identification. https://app.cochat.ai/papers/10.1007/978-3-642-33709-3_36
- The paper
- Kumar, N., Belhumeur, P. N., Biswas, A., Jacobs, D. W., Kress, W. J., Lopez, I. C., & Soares, J. V. B. (2012). Leafsnap: A Computer Vision System for Automatic Plant Species Identification. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-33709-3_36
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.