Nov, pp. [4] Y. Li, C. Fang, J. Yang, Z. Wang, X. Lu, and M.-H. Yang, “Universal style transfer via feature transforms,” in Advances in Neural Information Processing Systems, 2017, pp. Computer Vision, 2017, pp. Figure 1.
The database is generally updated within 24 hours of new discoveries, too, which means this is about as up-to-date as one could imagine; that the repo was last updated 20 days ago is encouraging in this respect. The post was inspired by the Github Open Data Showcase, which is good, but which is not very large. You signed in with another tab or window. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. 1510–1519. Top tweets, Sep 23-29: An Introduction to #AI – updat... AI in Healthcare: A review of innovative startups. While this number reflects software, and not data, it is easy to surmise that open data is a heavily-relied upon commodity in data science and related data-oriented disciplines for research, practice, and production alike, for myriad reasons. SVD: A Large-Scale Short Video Dataset for Near Duplicate Video Retrieval. The first row: schematics where red is used to represent specific text effects subclasses. Click the markers in the above map to see dataset examples of the seleted city. Experimental results demonstrate the superiority of TET-GAN both qualitatively and quantitatively, and indicate that our dataset is effective and challenging. Int’l Conf. (c) WCT [4]. GitHub Gist: instantly share code, notes, and snippets. The second row: representative samples from TE141K. 2579–2605, 2008. Precisely because of their connecting role, free and open addresses are rocket fuel for civic and commercial innovation. It also contains the results of an evaluation of the effectiveness of those predictions. In case the name "Chicago Food Inspections Evaluation" didn't give it away, here's what to expect from this repo: This repository contains the code to generate predictions of critical violations at food establishments in Chicago. 1,000 images from Scene Images (with scene categories based on SUN categories) 2,000 images from the COCO dataset author = {Shuai Yang and Wenjing Wang and Jiaying Liu}, Street address data is essential infrastructure. (h) StarGAN [9]. Proceedings of International …
Semantic Segmentation Dataset. (b) AdaIN [3]. year = {2020}, A. Efros, “Image-to-image translation with conditional adversarial networks,” in Proc. BOLD5000 is a large-scale, slow event-related fMRI dataset collected on 4 subjects, each observing 5,254 images over 15 scanning sessions.
WTA Tennis Rankings, Results, and Stats This repo contains my master WTA player file, historical rankings, and an extensive database of match results. Finally, we conduct a comprehensive comparison where 14 style transfer models are benchmarked. (f) Pix2pix [7]. Zhu, R. Zhang, D. Pathak, T. Darrell, A. Based on glyph types, TE141K can be split into three subsets, where styles are different in different subsets. Our images are selected from three computer vision datasets.
Table 1. Comparison with state-of-the-art methods on general text effects transfer. Data is noted as not being suited for clinical use, and one should assume no specific validity of any data results included within. Clone with Git or checkout with SVN using the repository’s web address. Figure 2. This is a catalog of all known discovered planets existing outside of our solar system. Computer Vision and Pattern Recognition, 2017, pp. So here they are, the open dataset repos with the highest number of stars as of the time of writing. The player file columns are: player_id, first_name, last_name, hand, birth_date, country_code. title = {TE141K: Artistic Text Benchmark for Text Effect Transfer}, You can always update your selection by clicking Cookie Preferences at the bottom of the page. [Unlabeled Image Pairs] [Labeled Images] Unlabeled Image Pairs For each city, we collect 1600 unlabeled image pairs which are taken at the same location but different times. Even with these disclaimers, there is no doubt that the data here would be great practice for those interested in the domain. IEEE Int’l Conf. You can use CAER benchmark to train deep convolution neural networks for emotion recognition. The MASS dataset formed the core content of the early Signal Separation Evaluation Campaigns (SiSEC) (Vincent, Araki, and Bofill 2009), which evaluate the quality of various music separation methods.
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