The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
The sketchy database: learning to retrieve badly drawn bunnies
Open accessAbstract
We present the Sketchy database , the first large-scale collection of sketch-photo pairs. We ask crowd workers to sketch particular photographic objects sampled from 125 categories and acquire 75,471 sketches of 12,500 objects. The Sketchy database gives us fine-grained associations between particular photos and sketches, and we use this to train cross-domain convolutional networks which embed sketches and photographs in a common feature space. We use our database as a benchmark for fine-grained retrieval and show that our learned representation significantly outperforms both hand-crafted features as well as deep features trained for sketch or photo classification. Beyond image retrieval, we believe the Sketchy database opens up new opportunities for sketch and image understanding and synthesis.
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Cites
ImageNet classification with deep convolutional neural networks
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Self-citationImageNet Large Scale Visual Recognition Challenge
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Learning Robust Global Representations by Penalizing Local Predictive Power
Wang, H., Ge, S., Xing, E. P., & Lipton, Z. C. (2019) · arXiv · doi:10.48550/arxiv.1905.13549 · Cited by 337
Localizing and Orienting Street Views Using Overhead Imagery
Vo, N. N., & Hays, J. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46448-0_30 · Cited by 283
Self-citationCLIPasso: semantically-aware object sketching
Vinker, Y., Pajouheshgar, E., Bo, J. Y., Bachmann, R. C., Bermano, A. H., Cohen-Or, D., Zamir, A., & Shamir, A. (2022) · ACM Transactions on Graphics · doi:10.1145/3528223.3530068 · Cited by 217
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
Fu, S., Tamir, N., Sundaram, S., Chai, L., Zhang, R., Dekel, T., & Isola, P. (2023) · Advances in Neural Information Processing Systems 36 · doi:10.52202/075280-2208 · Cited by 108
Metadata
- Authors
- Sangkloy, P., Burnell, N., Ham, C., & Hays, J.
- Venue
- ACM Transactions on Graphics
- Published
- 2016-07-11
- Volume
- 35
- Issue
- 4
- Pages
- 1-12
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2466618734
- Cited by
- 622
- References
- 57
- FWCI
- 35.60
- Type
- journal article
- Language
- en
- Open access
- bronze
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