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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2003 1
2004 1
2007 1
2008 2
2009 1
2010 1
2011 1
2012 3
2013 5
2014 3
2015 3
2016 4
2017 5
2018 5
2019 1
2020 1
2021 2
2022 1
2024 0

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35 results

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Page 1
Objective-guided image annotation.
Mao Q, Tsang IW, Gao S. Mao Q, et al. IEEE Trans Image Process. 2013 Apr;22(4):1585-97. doi: 10.1109/TIP.2012.2233490. Epub 2012 Dec 11. IEEE Trans Image Process. 2013. PMID: 23247859
Automatic image annotation, which is usually formulated as a multi-label classification problem, is one of the major tools used to enhance the semantic understanding of web images. Many multimedia applications (e.g., tag-based image retrieval) can greatly benefit fr …
Automatic image annotation, which is usually formulated as a multi-label classification problem, is one of the major tools used to enhance t …
Recognition From Web Data: A Progressive Filtering Approach.
Yang J, Sun X, Lai YK, Zheng L, Cheng MM. Yang J, et al. IEEE Trans Image Process. 2018 Nov;27(11):5303-5315. doi: 10.1109/TIP.2018.2855449. Epub 2018 Jul 12. IEEE Trans Image Process. 2018. PMID: 30010575 Free article.
To address this problem, this paper focuses on image classification and proposes to iterate between filtering out noisy web labels and fine-tuning the CNN model using the crawled web images. Overall, the proposed method benefits from the growing modeling capability …
To address this problem, this paper focuses on image classification and proposes to iterate between filtering out noisy web labels and fine- …
Shroud of Turin ultraviolet light images: color and information content.
McAvoy T. McAvoy T. Appl Opt. 2021 Aug 1;60(22):6604-6613. doi: 10.1364/AO.422447. Appl Opt. 2021. PMID: 34612909
This paper examines whether the color difference indicates that the web images have deteriorated over time and if so whether information content in them is suspect. ...Subject to these limitations, it is shown that deterioration probably has not occurred and that si …
This paper examines whether the color difference indicates that the web images have deteriorated over time and if so whether i …
Bethesda Interobserver Reproducibility Study-2 (BIRST-2): Bethesda System 2014.
Kurtycz DFI, Staats PN, Chute DJ, Russell D, Pavelec D, Monaco SE, Friedlander MA, Wilbur DC, Nayar R. Kurtycz DFI, et al. J Am Soc Cytopathol. 2017 Jul-Aug;6(4):131-144. doi: 10.1016/j.jasc.2017.03.003. Epub 2017 Apr 8. J Am Soc Cytopathol. 2017. PMID: 31043266
MATERIALS AND METHODS: Participants were recruited online through national and international cytopathology professional societies. Study participants evaluated 84 previously unpublished web images chosen from the third Bethesda Atlas image set, prior to the release …
MATERIALS AND METHODS: Participants were recruited online through national and international cytopathology professional societies. Study par …
Exploring Web Images to Enhance Skin Disease Analysis Under A Computer Vision Framework.
Xia Y, Zhang L, Meng L, Yan Y, Nie L, Li X. Xia Y, et al. IEEE Trans Cybern. 2018 Nov;48(11):3080-3091. doi: 10.1109/TCYB.2017.2765665. Epub 2017 Nov 1. IEEE Trans Cybern. 2018. PMID: 29990098
To address such problem, we present a novel transfer learning model, which is able to incorporate external knowledge obtained from the rich and relevant Web images contributed by grassroots. In particular, we first construct a target domain by crawling a small set o …
To address such problem, we present a novel transfer learning model, which is able to incorporate external knowledge obtained from the rich …
Landmark image super-resolution by retrieving web images.
Yue H, Sun X, Yang J, Wu F. Yue H, et al. IEEE Trans Image Process. 2013 Dec;22(12):4865-78. doi: 10.1109/TIP.2013.2279315. Epub 2013 Aug 21. IEEE Trans Image Process. 2013. PMID: 23974626
This paper proposes a new super-resolution (SR) scheme for landmark images by retrieving correlated web images. Using correlated web images significantly improves the exemplar-based SR. ...
This paper proposes a new super-resolution (SR) scheme for landmark images by retrieving correlated web images. Using correlat …
Knowledge-Based Topic Model for Unsupervised Object Discovery and Localization.
Niu Z, Hua G, Wang L, Gao X. Niu Z, et al. IEEE Trans Image Process. 2018 Jan.;27(1):50-63. doi: 10.1109/TIP.2017.2718667. IEEE Trans Image Process. 2018. PMID: 28650813
In this paper, prior knowledge in terms of the so-called must-links are exploited from Web images on the Internet. Furthermore, a novel knowledge-based topic model, called LDA with mixture of Dirichlet trees, is proposed to incorporate the must-links into topic mode …
In this paper, prior knowledge in terms of the so-called must-links are exploited from Web images on the Internet. Furthermore …
Learning to Detect Salient Object With Multi-Source Weak Supervision.
Zhang H, Zeng Y, Lu H, Zhang L, Li J, Qi J. Zhang H, et al. IEEE Trans Pattern Anal Mach Intell. 2022 Jul;44(7):3577-3589. doi: 10.1109/TPAMI.2021.3059783. Epub 2022 Jun 3. IEEE Trans Pattern Anal Mach Intell. 2022. PMID: 33591912
To this end, we introduce a unified two-stage framework to learn from category labels, captions, web images and unlabeled images. In the first stage, we design a classification network (CNet) and a caption generation network (PNet), which learn to predict object cat …
To this end, we introduce a unified two-stage framework to learn from category labels, captions, web images and unlabeled imag …
Learning Facial Action Units from Web Images with Scalable Weakly Supervised Clustering.
Zhao K, Chu WS, Martinez AM. Zhao K, et al. Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. 2018 Jun;2018:2090-2099. doi: 10.1109/CVPR.2018.00223. Epub 2018 Dec 17. Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. 2018. PMID: 31244515 Free PMC article.
We present a scalable weakly supervised clustering approach to learn facial action units (AUs) from large, freely available web images. Unlike most existing methods (e.g., CNNs) that rely on fully annotated data, our method exploits web images with ina …
We present a scalable weakly supervised clustering approach to learn facial action units (AUs) from large, freely available web im …
35 results