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把粗网格放大时，先看输入有没有变","sha256":"8d1f73f0a9994f3acf69f816a1b1675e1d3ff90f97fd81375823bc5712735cc2","chapter":{"id":"II","title":"区域、像素与实例"},"unit":{"id":"pixel-prediction-objective","title":"怎样直接学习一张像素类别地图？"},"page":{"id":"pixel-upsampling-input","title":"把粗网格放大时，先看输入有没有变","number":2},"sectionTitle":"把粗网格放大时，先看输入有没有变","currentQuestion":"从区域对象集合转向逐像素目标，监督和指标如何对应？","sourceSlides":["l3-r2-p37"],"knowledgeBlock":null,"formulas":[],"previousBlock":null,"nextBlock":"b-e0fbe2dc10edeae75204123b","prerequisites":[{"id":"b-5a5760d5266ea240fd1f1cee","url":"#b-5a5760d5266ea240fd1f1cee","role":"problem-context"}],"relatedBlocks":[{"id":"b-3992d0aaa085e723ee70db0f","url":"#b-3992d0aaa085e723ee70db0f","relation":"figure-and-explanation"}]},{"id":"b-e0fbe2dc10edeae75204123b","type":"h2","scope":"explanation","url":"https://codingai-lec03.pages.dev/course/pages/l3-r2-p37.html#b-e0fbe2dc10edeae75204123b","content":"## 解释、算例与证据","sha256":"d71cf15e707c8a3674b4c90a599efee783cb84da5b8c8236a1d01c3add7b4958","chapter":{"id":"II","title":"区域、像素与实例"},"unit":{"id":"pixel-prediction-objective","title":"怎样直接学习一张像素类别地图？"},"page":{"id":"pixel-upsampling-input","title":"把粗网格放大时，先看输入有没有变","number":2},"sectionTitle":"把粗网格放大时，先看输入有没有变","currentQuestion":"从区域对象集合转向逐像素目标，监督和指标如何对应？","sourceSlides":["l3-r2-p37"],"knowledgeBlock":null,"formulas":[],"previousBlock":"b-cf01de2a9d65be426abf9be1","nextBlock":"b-e3594c66a906682695f39fd0","prerequisites":[{"id":"b-cf01de2a9d65be426abf9be1","url":"#b-cf01de2a9d65be426abf9be1","role":"section-title"},{"id":"b-5a5760d5266ea240fd1f1cee","url":"#b-5a5760d5266ea240fd1f1cee","role":"problem-context"}],"relatedBlocks":[{"id":"b-3992d0aaa085e723ee70db0f","url":"#b-3992d0aaa085e723ee70db0f","relation":"figure-and-explanation"}]},{"id":"b-e3594c66a906682695f39fd0","type":"h1","scope":"document","url":"https://codingai-lec03.pages.dev/course/pages/l3-r2-p37.html#b-e3594c66a906682695f39fd0","content":"# P37 · 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logits 的插值又不同。8×8 算例清楚给出前景 IoU、背景 IoU、mIoU 和像素准确率，避免同一个小数换四个名字。","sha256":"1c12d6c2d1f8cd98252583075212849047aca363619a16470da6c06b0d620968","chapter":{"id":"II","title":"区域、像素与实例"},"unit":{"id":"pixel-prediction-objective","title":"怎样直接学习一张像素类别地图？"},"page":{"id":"pixel-upsampling-input","title":"把粗网格放大时，先看输入有没有变","number":2},"sectionTitle":"把粗网格放大时，先看输入有没有变","currentQuestion":"从区域对象集合转向逐像素目标，监督和指标如何对应？","sourceSlides":["l3-r2-p37"],"knowledgeBlock":null,"formulas":[],"previousBlock":"b-e3594c66a906682695f39fd0","nextBlock":"b-3992d0aaa085e723ee70db0f","prerequisites":[{"id":"b-e3594c66a906682695f39fd0","url":"#b-e3594c66a906682695f39fd0","role":"section-title"}],"relatedBlocks":[{"id":"b-3992d0aaa085e723ee70db0f","url":"#b-3992d0aaa085e723ee70db0f","relation":"figure-and-explanation"}]},{"id":"b-3992d0aaa085e723ee70db0f","type":"figure","scope":"document","url":"https://codingai-lec03.pages.dev/course/pages/l3-r2-p37.html#b-3992d0aaa085e723ee70db0f","content":"图内标签与数值：Lecture 03 课堂图解 P37；已有 4 × 4 数值；最近邻 · 16 × 16；双线性 · 16 × 16；唯一的数值来源；复制邻近值；过渡更平滑；两种放大都只读原来的 16 个值，没有重新读取图像。；二值数值场的插值算例；不是视觉模型预测。双线性按输出像素中心映射，边界夹取。\n\n同一个 4×4 二值数值场放大到 16×16，最近邻和双线性并排；两者的计算输入完全相同。\n\n- 已有 4 × 4 数值\n- 最近邻 · 16 × 16\n- 双线性 · 16 × 16\n- 唯一的数值来源\n- 复制邻近值\n- 过渡更平滑\n- 两种放大都只读原来的 16 个值，没有重新读取图像。\n- 二值数值场的插值算例；不是视觉模型预测。双线性按输出像素中心映射，边界夹取。同一个 4×4 二值数值场放大到 16×16，最近邻和双线性并排；两者的计算输入完全相同。 [查看对应图解状态](/#/l3-r2-p37/0)[查看完整图解](/course/figures/l3-r2-p37-0.html)","sha256":"1f39978cfd9a3aeeb44bed7377df1ea97d4df5f1bc95da51f4ba53863e42c904","chapter":{"id":"II","title":"区域、像素与实例"},"unit":{"id":"pixel-prediction-objective","title":"怎样直接学习一张像素类别地图？"},"page":{"id":"pixel-upsampling-input","title":"把粗网格放大时，先看输入有没有变","number":2},"sectionTitle":"把粗网格放大时，先看输入有没有变","currentQuestion":"从区域对象集合转向逐像素目标，监督和指标如何对应？","sourceSlides":["l3-r2-p37"],"knowledgeBlock":null,"formulas":[],"figure":{"caption":"同一个 4×4 二值数值场放大到 16×16，最近邻和双线性并排；两者的计算输入完全相同。 查看对应图解状态","labels":["已有 4 × 4 数值","最近邻 · 16 × 16","双线性 · 16 × 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课堂讲述","sha256":"786ce10a6b32a492259a3dccd0a54e61cd41d28a34382fb7b5386c5f03b7ad69","chapter":{"id":"II","title":"区域、像素与实例"},"unit":{"id":"pixel-prediction-objective","title":"怎样直接学习一张像素类别地图？"},"page":{"id":"pixel-upsampling-input","title":"把粗网格放大时，先看输入有没有变","number":2},"sectionTitle":"把粗网格放大时，先看输入有没有变","currentQuestion":"从区域对象集合转向逐像素目标，监督和指标如何对应？","sourceSlides":["l3-r2-p37"],"knowledgeBlock":null,"formulas":[],"previousBlock":"b-3992d0aaa085e723ee70db0f","nextBlock":"b-4f3f45578f826ac62a4a86fd","prerequisites":[{"id":"b-e3594c66a906682695f39fd0","url":"#b-e3594c66a906682695f39fd0","role":"section-title"},{"id":"b-5a5760d5266ea240fd1f1cee","url":"#b-5a5760d5266ea240fd1f1cee","role":"problem-context"}],"relatedBlocks":[{"id":"b-3992d0aaa085e723ee70db0f","url":"#b-3992d0aaa085e723ee70db0f","relation":"figure-and-explanation"}]},{"id":"b-4f3f45578f826ac62a4a86fd","type":"p","scope":"narrative","url":"https://codingai-lec03.pages.dev/course/pages/l3-r2-p37.html#b-4f3f45578f826ac62a4a86fd","content":"把一个粗网格放大很容易。最近邻复制数值，双线性利用邻近位置作平滑过渡；它们可以给出更多输出位置，但没有额外读取原图。\n如果深层表示中仍保存着相关差异，合适的解码和上采样能帮助利用它；如果两种不同边界已经被编码成完全一样的表示，单纯放大不会知道原来是哪一种。\n所以像素预测不仅需要“把图片尺寸变回来”，还需要检查表示中保留的空间信息、解码时的读取和训练监督。不要把转置卷积叫成一般意义上的逆卷积，也不要把画面更平滑等同于边界更正确。下面看怎样把不同层次的信息结合起来。","sha256":"be54770adf55b9e0cc22b37339f79d1fffb6655def9206f88e56a0add9a193cb","chapter":{"id":"II","title":"区域、像素与实例"},"unit":{"id":"pixel-prediction-objective","title":"怎样直接学习一张像素类别地图？"},"page":{"id":"pixel-upsampling-input","title":"把粗网格放大时，先看输入有没有变","number":2},"sectionTitle":"把粗网格放大时，先看输入有没有变","currentQuestion":"从区域对象集合转向逐像素目标，监督和指标如何对应？","sourceSlides":["l3-r2-p37"],"knowledgeBlock":null,"formulas":[],"previousBlock":"b-e4228d1d32843f9cbc2d1476","nextBlock":"b-92fd781056bf0cde686cfadd","prerequisites":[{"id":"b-e4228d1d32843f9cbc2d1476","url":"#b-e4228d1d32843f9cbc2d1476","role":"section-title"},{"id":"b-5a5760d5266ea240fd1f1cee","url":"#b-5a5760d5266ea240fd1f1cee","role":"problem-context"}],"relatedBlocks":[{"id":"b-3992d0aaa085e723ee70db0f","url":"#b-3992d0aaa085e723ee70db0f","relation":"figure-and-explanation"}]},{"id":"b-92fd781056bf0cde686cfadd","type":"h4","scope":"pixel-upsampling-input","url":"https://codingai-lec03.pages.dev/course/pages/l3-r2-p37.html#b-92fd781056bf0cde686cfadd","content":"#### 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