Deep Visual-Semantic Alignments for Generating Image Descriptions
Deep Visual-Semantic Alignments for Generating Image Descriptions We present a model that generates natural language descriptions of images and their regions. Our approach leverages datasets of images and their sentence descriptions to learn about the inter-modal correspondences between language and visual data. Our alignment model is based on a novel combination of Convolutional Neural Networks o
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創æ¥å½“時ã€ã‚»ãƒ«ã‚²ã‚¤ãƒ»ãƒ–リン自らGimpを使ã£ã¦ãƒ‡ã‚¶ã‚¤ãƒ³ã—ãŸã¨ã„ã†Google（グーグル）ãƒã‚´ã€‚当時ã¨æ¯”ã¹ã‚Œã°ã€ç¾åœ¨ã‚°ãƒ¼ã‚°ãƒ«ã®å¤šå½©ãªã‚µãƒ¼ãƒ“スãƒã‚´ã«ã¯ã€ãšã£ã¨æ´—ç·´ã•ã‚ŒãŸå°è±¡ã‚’æ„Ÿã˜ã¾ã™ã€‚ãã®ãƒ‡ã‚¶ã‚¤ãƒ³ã®ãƒãƒªã‚·ãƒ¼ã‚’米メディア・Co.EXISTãŒç´¹ä»‹ã—ã¦ã„ã¾ã—ãŸã€‚ãã®è¨˜äº‹ã‚’翻訳ã—ã¦æŽ²è¼‰ã—ã¾ã™ã€‚（Top Image via Google Visual Assets Guidelines - Part 2） 検索サービスã‹ã‚‰ã¯ã˜ã¾ã‚Šã€ãƒ¡ãƒ¼ãƒ«ã€ãƒžãƒƒãƒ—ã€ãƒ‰ã‚ュメントツールã€SNSãªã©ã€ã‚°ãƒ¼ã‚°ãƒ«ã®è£½å“・サービスã¯ã€ã„ã¾ã‚„数多ãã®ãƒ¦ãƒ¼ã‚¶ã«ã¨ã£ã¦æ¬ ã‹ã›ãªã„å˜åœ¨ã¨ãªã£ã¦ã„ã¾ã™ã€‚ãŸã ã€æ©Ÿèƒ½é¢ã§ã®å……実ã¶ã‚Šã«æ¯”ã¹ã€ãƒ“ジュアルé¢ã§ã®æ´—ç·´ã•ã‚„統一感ã¯ã„ã¾ã²ã¨ã¤...ã¨ã„ã†ã®ãŒã€å¾“æ¥ã®ã‚°ãƒ¼ã‚°ãƒ«ã§ã—ãŸã€‚ ãã“ã§ã€ã“ã®ã‚ˆã†ãªãƒ“ジュアルé¢ã§ã®èª²é¡Œã‚’å…‹æœã™ã¹ãã€2011å¹´4月ã€æœ€é«˜çµŒå–¶è²¬ä»»è€…（CEO）ラリー・ペイジ（Larry Page
Google Visual Assets Guidelines - Part 1 - Behance
Google’s brand is shaped in many ways; one of which is through maintaining the visual coherence of our visual assets. In January 2012, expanding on the new iconography style started by Creative Lab, we began creating this solid, yet flexible, set of guidelines that have been helping Google’s designers and vendors to produce high quality work that helps strengthen Google’s identity.
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When I started this blog, way back in 2006, I had no clue how long it would last. I actually had no idea I could even write about something for more than a couple of days. It is funny how things go. Once I read in a book that the secret of happiness was low expectations. That explains why, for over a decade, I have been running this site. It also explains why you might end up on this page. Not los
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