{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","title":"智慧的疆界 从图灵机到人工智能","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787111778004","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","id":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","uuid":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","title":"智慧的疆界 从图灵机到人工智能","normalized_title":"智慧的疆界从图灵机到人工智能","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787111778004","isbns":["9787111778004","9787111695714"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":456,"navigation_url":"https://workshop.closeclaw.top/ai/book/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","title_url":"https://workshop.closeclaw.top/ai/title/%E6%99%BA%E6%85%A7%E7%9A%84%E7%96%86%E7%95%8C%20%E4%BB%8E%E5%9B%BE%E7%81%B5%E6%9C%BA%E5%88%B0%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","page_url":"https://workshop.closeclaw.top/api/ai/books/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/page","search_url":"https://workshop.closeclaw.top/api/ai/books/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/search"},"page":{"printed_page":359,"pdf_page":374,"physical_index":374,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"6558248eeff830c0a1d5527485145a747ad072dab22e8bc7fe799d110b9661f4"},"chapter":"内容简介","content":"在另外两个项目“单物体定位”和“物体检测”中，计算机暂时还是无法与人类相媲美，人类可以轻松地完成复杂环境下多目标精确边界的图像分割，而计算机估计还需要数年乃至更长的时间才能追赶上人类的水平。\n\n图 9-3 是一个使用“ Mask R-CNN”算法<sup>○一</sup>对图片进行精确边缘分割的例子，这是当前人工智能产品最高水平的精确边界分割，已经接近人类水平，但计算机现在还只能在部分有条件约束的图片上达到这样的效果。微软、Meta 和Mighty AI 联合发布了一个名为“ COCO”的图像数据库，它与 ImageNet 数据库很相似，但其主要目标是面向物体的分割和检测，用于补全计算机这方面的相对弱项。\n\n第 9 章 与机器共生\n\n359\n\n○一 Mask R-CNN 算法是何恺明（Kaiming He）在 2017 年提出的，通过在 Faster R-CNN 的基础上添加一个分支网络，在实现目标检测的同时把目标像素分割出来。","previous_page":358,"next_page":360}