{"id":1327,"date":"2026-01-28T15:00:06","date_gmt":"2026-01-28T07:00:06","guid":{"rendered":"https:\/\/1ow.top\/index.php\/2026\/01\/28\/deepseek%e5%bc%80%e6%ba%90%e5%85%a8%e6%96%b0ocr%e6%a8%a1%e5%9e%8b%ef%bc%81%e5%bc%83%e7%94%a8clip%e6%94%b9%e7%94%a8qwen%e8%bd%bb%e9%87%8f%e5%b0%8f%e6%a8%a1%e5%9e%8b%ef%bc%8c%e6%80%a7%e8%83%bd%e5%aa%b2\/"},"modified":"2026-01-28T15:00:06","modified_gmt":"2026-01-28T07:00:06","slug":"deepseek%e5%bc%80%e6%ba%90%e5%85%a8%e6%96%b0ocr%e6%a8%a1%e5%9e%8b%ef%bc%81%e5%bc%83%e7%94%a8clip%e6%94%b9%e7%94%a8qwen%e8%bd%bb%e9%87%8f%e5%b0%8f%e6%a8%a1%e5%9e%8b%ef%bc%8c%e6%80%a7%e8%83%bd%e5%aa%b2","status":"publish","type":"post","link":"https:\/\/1ow.top\/index.php\/2026\/01\/28\/deepseek%e5%bc%80%e6%ba%90%e5%85%a8%e6%96%b0ocr%e6%a8%a1%e5%9e%8b%ef%bc%81%e5%bc%83%e7%94%a8clip%e6%94%b9%e7%94%a8qwen%e8%bd%bb%e9%87%8f%e5%b0%8f%e6%a8%a1%e5%9e%8b%ef%bc%8c%e6%80%a7%e8%83%bd%e5%aa%b2\/","title":{"rendered":"DeepSeek\u5f00\u6e90\u5168\u65b0OCR\u6a21\u578b\uff01\u5f03\u7528CLIP\u6539\u7528Qwen\u8f7b\u91cf\u5c0f\u6a21\u578b\uff0c\u6027\u80fd\u5ab2\u7f8eGemini-3 Pro"},"content":{"rendered":"
\"DeepSeek\u5f00\u6e90\u5168\u65b0OCR\u6a21\u578b\uff01\u5f03\u7528CLIP\u6539\u7528Qwen\u8f7b\u91cf\u5c0f\u6a21\u578b\uff0c\u6027\u80fd\u5ab2\u7f8eGemini-3<\/div><\/figure>\n
\"DeepSeek\u5f00\u6e90\u5168\u65b0OCR\u6a21\u578b\uff01\u5f03\u7528CLIP\u6539\u7528Qwen\u8f7b\u91cf\u5c0f\u6a21\u578b\uff0c\u6027\u80fd\u5ab2\u7f8eGemini-3<\/div><\/figure>\n
\"DeepSeek\u5f00\u6e90\u5168\u65b0OCR\u6a21\u578b\uff01\u5f03\u7528CLIP\u6539\u7528Qwen\u8f7b\u91cf\u5c0f\u6a21\u578b\uff0c\u6027\u80fd\u5ab2\u7f8eGemini-3<\/div><\/figure>\n
\"DeepSeek\u5f00\u6e90\u5168\u65b0OCR\u6a21\u578b\uff01\u5f03\u7528CLIP\u6539\u7528Qwen\u8f7b\u91cf\u5c0f\u6a21\u578b\uff0c\u6027\u80fd\u5ab2\u7f8eGemini-3<\/div><\/figure>\n

henry \u53d1\u81ea \u51f9\u975e\u5bfa<\/p>\n

\u521a\u521a\uff0cDeepSeek\u5f00\u6e90\u4e86\u5168\u65b0\u7684OCR\u6a21\u578b\u2014\u2014<\/p>\n

DeepSeek-OCR 2\uff0c\u4e3b\u6253\u5c06PDF\u6587\u6863\u7cbe\u51c6\u8f6c\u6362Markdown\u3002<\/p>\n

\u76f8\u8f83\u4e8e\u53bb\u5e7410\u670820\u65e5\u53d1\u5e03\u7684\u521d\u4ee3\u6a21\u578b\uff0cDeepSeek-OCR 2\u7684\u6838\u5fc3\u7a81\u7834\u5728\u4e8e\u6253\u7834\u4e86\u4f20\u7edf\u6a21\u578b\u6b7b\u677f\u7684\u201c\u5149\u6805\u626b\u63cf\u201d\u903b\u8f91\uff0c\u5b9e\u73b0\u4e86\u6839\u636e\u56fe\u50cf\u8bed\u4e49\u52a8\u6001\u91cd\u6392\u89c6\u89c9\u6807\u8bb0\uff08Visual Tokens\uff09\u3002<\/p>\n

\u4e3a\u6b64\uff0cDeepSeek-OCR 2\u5f03\u7528\u4e86\u524d\u4f5c\u4e2d\u7684CLIP\u7ec4\u4ef6\uff0c\u8f6c\u800c\u4f7f\u7528\u8f7b\u91cf\u5316\u7684\u8bed\u8a00\u6a21\u578b\uff08Qwen2-0.5B\uff09\u6784\u5efaDeepEncoder V2\uff0c\u5728\u89c6\u89c9\u7f16\u7801\u9636\u6bb5\u5c31\u5f15\u5165\u4e86\u201c\u56e0\u679c\u63a8\u7406\u201d\u80fd\u529b\u3002<\/p>\n

\u8fd9\u4e00\u8c03\u6574\u6a21\u62df\u4e86\u4eba\u7c7b\u9605\u8bfb\u6587\u6863\u65f6\u7684\u56e0\u679c\u89c6\u89c9\u6d41\uff0c\u4f7fLLM\u5728\u8fdb\u884c\u5185\u5bb9\u89e3\u8bfb\u4e4b\u524d\uff0c\u667a\u80fd\u5730\u91cd\u6392\u89c6\u89c9\u6807\u8bb0\u3002<\/p>\n

\u6027\u80fd\u4e0a\uff0cDeepSeek-OCR 2\u5728\u4ec5\u91c7\u7528\u8f7b\u91cf\u6a21\u578b\u7684\u524d\u63d0\u4e0b\uff0c\u8fbe\u5230\u4e86\u5ab2\u7f8eGemini-3 Pro\u7684\u6548\u679c\u3002<\/p>\n

\u5728OmniDocBench v1.5\u57fa\u51c6\u4e0a\uff0cDeepSeek-OCR 2\u63d0\u5347\u4e863.73%\uff0c\u5e76\u5728\u89c6\u89c9\u9605\u8bfb\u903b\u8f91\u65b9\u9762\u53d6\u5f97\u4e86\u663e\u8457\u8fdb\u5c55\u3002<\/p>\n

\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u8fd9\u6b21\u6700\u65b0\u8bba\u6587\u7684\u4f5c\u8005\u4f9d\u7136\u662f\uff1a\u9b4f\u6d69\u7136\uff0c\u5b59\u8000\u5cf0\u548c\u674e\u5b87\u7428\u4e09\u4eba\u7ec4\u3002<\/p>\n

\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u4e00\u8d77\u6765\u770b\u3002<\/p>\n

DeepSeek-OCR 2\u5ef6\u7eed\u4e86\u524d\u4ee3OCR\u6a21\u578b\u7684\u7ecf\u5178\u67b6\u6784\uff0c\u7531\u7f16\u7801\u5668\u548c\u89e3\u7801\u5668\u534f\u540c\u5de5\u4f5c\u3002<\/p>\n

\u7f16\u7801\u5668\u8d1f\u8d23\u5c06\u56fe\u50cf\u79bb\u6563\u5316\u4e3a\u89c6\u89c9\u6807\u8bb0\uff08Visual Tokens\uff09\uff0c\u89e3\u7801\u5668\u5219\u7ed3\u5408\u8fd9\u4e9b\u6807\u8bb0\u4e0e\u7528\u6237\u6307\u4ee4\u751f\u6210\u6700\u7ec8\u6587\u672c\u8f93\u51fa\u3002<\/p>\n

\u5982\u8bba\u6587\u6240\u8bf4\uff0cDeepSeek-OCR 2\u6b64\u6b21\u6838\u5fc3\u7684\u5347\u7ea7\u5728\u4e8e\u7f16\u7801\u5668\u2014\u2014<\/p>\n

DeepEncoder V2<\/p>\n

\u4f20\u7edf\u7684\u89c6\u89c9\u7f16\u7801\u5668\u901a\u5e38\u6309\u7167\u56fa\u5b9a\u7684\u201c\u5149\u6805\u626b\u63cf\u201d\uff08\u4ece\u5de6\u5230\u53f3\u3001\u4ece\u4e0a\u5230\u4e0b\uff09\u987a\u5e8f\u5904\u7406\u56fe\u50cf\uff0c\u8fd9\u5728\u9762\u5bf9\u590d\u6742\u7248\u9762\uff08\u5982\u53cc\u680f\u6587\u6863\u3001\u9519\u843d\u7684\u8868\u683c\uff09\u65f6\uff0c\u5f80\u5f80\u4f1a\u5207\u65ad\u8bed\u4e49\u7684\u903b\u8f91\u8fde\u8d2f\u6027\u3002<\/p>\n

\u800cDeepEncoder V2\u8fd9\u6b21\u7684\u66f4\u65b0\u89e3\u51b3\u7684\u6b63\u662f\u8fd9\u4e00\u95ee\u9898\u3002<\/p>\n

\u5b83\u5c06\u6b64\u524d\u7684CLIP\u7ec4\u4ef6\u66ff\u6362\u4e3a\u8f7b\u91cf\u5316\u7684LLM\u67b6\u6784\uff08Qwen2-0.5B\uff09\uff0c\u8fd9\u4e00\u8f6c\u53d8\u8d4b\u4e88\u4e86\u7f16\u7801\u5668\u56e0\u679c\u63a8\u7406\u80fd\u529b\uff1a<\/p>\n

\u4fe1\u606f\u8fdb\u5165\u4e3b\u89e3\u7801\u5668\u4e4b\u524d\uff0c\u7f16\u7801\u5668\u5c31\u5148\u5bf9\u89c6\u89c9\u6807\u8bb0\u8fdb\u884c\u201c\u667a\u80fd\u91cd\u6392\u201d\uff0c\u4f7f\u5176\u66f4\u7b26\u5408\u4eba\u7c7b\u9605\u8bfb\u903b\u8f91\u3002<\/p>\n

\u4e3a\u4e86\u5b9e\u73b0\u8fd9\u79cd\u667a\u80fd\u91cd\u6392\uff0cDeepEncoder V2\u5f15\u5165\u4e86\u4e00\u79cd\u5168\u65b0\u7684\u53cc\u6d41\u6ce8\u610f\u529b\u673a\u5236\uff0c\u5176\u5e95\u5c42\u903b\u8f91\u901a\u8fc7\u4e00\u4e2a\u5b9a\u5236\u7684\u6ce8\u610f\u529b\u63a9\u7801\uff08Attention Mask\uff09\u6765\u7ea6\u675f\uff1a<\/p>\n

\u8fd9\u79cd\u8bbe\u8ba1\u4f7f\u5f97\u89c6\u89c9\u6807\u8bb0\u4e4b\u95f4\u4e92\u4e0d\u5e72\u6270\uff08\u4fdd\u6301\u539f\u59cb\u7279\u5f81\uff09\uff0c\u4f46\u6bcf\u4e00\u4e2a\u67e5\u8be2\u6807\u8bb0\u5374\u88ab\u5f3a\u5236\u8981\u6c42\u53ea\u80fd\u201c\u770b\u5230\u201d\u5b83\u4e4b\u524d\u7684\u6807\u8bb0\u4ee5\u53ca\u6240\u6709\u7684\u89c6\u89c9\u6807\u8bb0\u3002<\/p>\n

\u76f8\u6bd4\u4f20\u7edf\u7684\u4ea4\u53c9\u6ce8\u610f\u529b\u7ed3\u6784\uff0c\u8fd9\u786e\u4fdd\u89c6\u89c9\u4fe1\u606f\u5728\u6240\u6709\u5c42\u4e2d\u90fd\u4fdd\u6301\u201c\u6d3b\u8dc3\u201d\uff0c\u4ece\u800c\u4e0e\u56e0\u679c\u67e5\u8be2\u8fdb\u884c\u6df1\u5ea6\u4fe1\u606f\u4ea4\u6362\u3002<\/p>\n

\u6b64\u5916\uff0c\u8fd9\u5b9e\u9645\u4e0a\u8fd8\u5efa\u7acb\u4e86\u4e24\u9636\u6bb5\u7ea7\u8054\u63a8\u7406\uff0c\u6210\u529f\u5f25\u5408\u4e862D\u7a7a\u95f4\u7ed3\u6784\u4e0e1D\u8bed\u8a00\u5efa\u6a21\u4e4b\u95f4\u7684\u9e3f\u6c9f\uff1a<\/p>\n

\u6362\u53e5\u8bdd\u8bf4\uff0c\u5728V1\u4e2d\uff0c\u56fe\u50cf\u8fdb\u5165LLM\u65f6\uff0c\u987a\u5e8f\u662f\u5199\u6b7b\u7684\u3002<\/p>\n

\u800c\u5728V2\u4e2d\uff0c\u901a\u8fc7\u67e5\u8be2\u6807\u8bb0\uff08Learnable Query\uff09\u7684\u91cd\u6392\uff0c\u6a21\u578b\u5728\u8fdb\u5165\u4e3b\u89e3\u7801\u5668\u4e4b\u524d\uff0c\u5c31\u5df2\u7ecf\u5728\u7f16\u7801\u5668\u5185\u90e8\u5b8c\u6210\u4e86\u4e00\u6b21\u201c\u903b\u8f91\u7406\u987a\u201d\u3002<\/p>\n

\u4ecb\u7ecd\u5b8cDeepEncoder V2\u7684\u6838\u5fc3\u5347\u7ea7\u540e\uff0c\u6211\u4eec\u6765\u4e32\u4e00\u4e0bDeepSeek-OCR 2\u7684\u6574\u4f53\u67b6\u6784\uff1a<\/p>\n

\u9996\u5148\u662f\u4e00\u5f00\u5934\u7684\u89c6\u89c9\u5206\u8bcd\u5668\uff08SAM\uff09\uff0c\u5176\u6cbf\u7528\u4e86\u6b64\u524d\u7684\u67b6\u6784\uff0c\u91c7\u7528\u4e8680M\u53c2\u6570\u7684SAM-base\u67b6\u6784\uff0c\u5e76\u7ed3\u5408\u4e24\u5c42\u5377\u79ef\u5c42\u3002<\/p>\n

\u8f93\u51fa\u7ef4\u5ea6\u4ece\u524d\u4ee3\u76841024\u4f18\u5316\u7f29\u51cf\u81f3896\uff0c\u4ee5\u5bf9\u9f50\u540e\u7eed\u7ba1\u7ebf\uff0c\u8fd9\u5957\u5206\u8bcd\u5668\u7684\u8bbe\u7f6e\u5b9e\u73b0\u4e8616\u500d\u7684\u6807\u8bb0\u538b\u7f29\u3002<\/p>\n

\u8fd9\u79cd\u57fa\u4e8e\u538b\u7f29\u7684\u8bbe\u8ba1\uff0c\u4ee5\u6781\u5c0f\u7684\u53c2\u6570\u5f00\u9500\uff0c\u6781\u5927\u5730\u91ca\u653e\u4e86\u540e\u7eed\u5168\u5c40\u6ce8\u610f\u529b\u6a21\u5757\u7684\u8ba1\u7b97\u538b\u529b\uff0c\u8ba9\u6a21\u578b\u8fd0\u884c\u66f4\u8f7b\u5feb\u3002<\/p>\n

\u6b64\u5916\uff0c\u4e3a\u4e86\u5728\u5904\u7406\u4e0d\u540c\u5206\u8fa8\u7387\u56fe\u50cf\u65f6\u201c\u4e0d\u4e22\u7ec6\u8282\u201d\uff0cDeepSeek-OCR 2\u5728\u7f16\u7801\u9636\u6bb5\u8fd8\u5f15\u5165\u4e86\u7075\u6d3b\u7684\u88c1\u526a\u65b9\u6848\uff1a<\/p>\n

\u6700\u7ec8\u8f93\u5165LLM\u7684\u6807\u8bb0\u603b\u6570\u7a33\u5b9a\u5728256\u52301120\u4e4b\u95f4\uff0c\u4e0eGemini-1.5 Pro\u7684\u89c6\u89c9\u9884\u7b97\u76f8\u5339\u914d\u3002<\/p>\n

\u6700\u540e\uff0c\u5728\u540e\u7aef\u89e3\u7801\u5668\u90e8\u5206\uff0cDeepSeek-OCR 2\u4fdd\u7559\u4e863B\u53c2\u6570\u7684MoE\u7ed3\u6784\uff08\u5b9e\u9645\u6fc0\u6d3b\u53c2\u6570\u4ec5\u7ea6 500M\uff09\u3002<\/p>\n

\u5728\u6570\u636e\u7b56\u7565\u4e0a\uff0cDeepSeek-OCR 2\u5ef6\u7eed\u4e86\u4e0e\u524d\u4ee3\u76f8\u540c\u7684\u6570\u636e\u6e90\uff0cOCR\u76f8\u5173\u6570\u636e\u5360\u6bd4\u8fbe80%\u3002<\/p>\n

\u5176\u5173\u952e\u4f18\u5316\u70b9\u6709\u4e8c\uff1a\u4e00\u662f\u91c7\u6837\u5747\u8861\u5316\uff0c\u5c06\u6b63\u6587\u3001\u516c\u5f0f\u4e0e\u8868\u683c\u63093:1:1\u6bd4\u4f8b\u5212\u5206\uff1b<\/p>\n

\u4e8c\u662f\u6807\u7b7e\u7cbe\u7b80\u5316\uff0c\u5408\u5e76\u4e86\u5982\u201c\u56fe\u7247\u8bf4\u660e\u201d\u4e0e\u201c\u6807\u9898\u201d\u7b49\u8bed\u4e49\u76f8\u4f3c\u7684\u5e03\u5c40\u6807\u7b7e\u3002\u8fd9\u79cd\u6781\u5c0f\u7684\u5e95\u5c42\u5dee\u5f02\uff0c\u786e\u4fdd\u4e86\u5176\u4e0e\u57fa\u51c6\u6d4b\u8bd5\u4e4b\u95f4\u5177\u5907\u9ad8\u5ea6\u7684\u4e00\u81f4\u6027\u4e0e\u53ef\u6bd4\u6027\u3002<\/p>\n

\u5728\u8bad\u7ec3\u6d41\u7a0b\u65b9\u9762\uff0cDeepSeek-OCR 2\u91c7\u7528\u4e86\u4e09\u9636\u6bb5\u7684\u8bad\u7ec3Pipelines\uff1a<\/p>\n

\u5728\u5b9e\u9a8c\u9636\u6bb5\uff0cDeepSeek-OCR 2\u4e3b\u8981\u5728OmniDocBench v1.5\u4e0a\u8fdb\u884c\u8bc4\u4f30\uff0c\u5305\u542b1355\u4e2a\u9875\u9762\uff0c\u6db5\u76d6\u6742\u5fd7\u3001\u5b66\u672f\u8bba\u6587\u3001\u7814\u7a76\u62a5\u544a\u7b499\u5927\u7c7b\u6587\u6863\u3002<\/p>\n

\u5e76\u4e0eGemini-3 Pro\u3001Qwen2.5-VL\u3001InternVL3.5\u7b49\u5148\u8fdb\u6a21\u578b\u53ca\u591a\u79cd\u4e13\u4e1aOCR\u65b9\u6848\u8fdb\u884c\u5bf9\u6bd4 \u3002<\/p>\n

\u5982\u5f00\u5934\u6240\u793a\uff0cDeepSeek-OCR 2\u5728OmniDocBench v1.5\u4e0a\u8fbe\u5230\u4e8691.09%\u7684\u6027\u80fd\uff0c\u76f8\u6bd4\u57fa\u7ebf\u63d0\u5347\u4e863.73%\u3002<\/p>\n

\u9605\u8bfb\u987a\u5e8f\uff08R-order\uff09\u7684\u7f16\u8f91\u8ddd\u79bb\u4ece0.085\u663e\u8457\u964d\u81f3 0.057\uff0c\u8bc1\u660e\u4e86 DeepEncoder V2 \u91cd\u65b0\u7f16\u6392\u89c6\u89c9\u4fe1\u606f\u7684\u80fd\u529b\u3002<\/p>\n

\u5728\u76f8\u4f3c\u7684\u6807\u8bb0\u9884\u7b97\uff081120\uff09\u4e0b\uff0cDeepSeek-OCR 2\u7684\u6587\u6863\u89e3\u6790\u7f16\u8f91\u8ddd\u79bb\uff080.100\uff09\u4f18\u4e8e Gemini-3 Pro\uff080.115\uff09\u3002<\/p>\n

\u5728\u5b9e\u9645\u751f\u4ea7\u4e2d\uff0c\u5728\u7ebf\u7528\u6237\u65e5\u5fd7\u7684\u91cd\u590d\u7387\u4ece6.25%\u964d\u81f34.17%\uff0cPDF \u751f\u4ea7\u6570\u636e\u91cd\u590d\u7387\u4ece 3.69% \u964d\u81f3 2.88%\uff0c\u8bc1\u660e\u4e86\u6a21\u578b\u903b\u8f91\u89c6\u89c9\u7406\u89e3\u80fd\u529b\u7684\u63d0\u5347\u3002<\/p>\n

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\u9879\u76ee\u5df2\u5728GitHub\u5f00\u6e90\uff0c\u5e76\u540c\u6b65\u4e0a\u7ebfHuggingFace\uff0c\u8bba\u6587\u4e5f\u4e00\u5e76\u91ca\u51fa\u3002<\/p>\n

GitHub\uff1ahttps:\/\/github.com\/deepseek-ai\/DeepSeek-OCR-2HuggingFace\uff1ahttps:\/\/huggingface.co\/deepseek-ai\/DeepSeek-OCR-2\u8bba\u6587\uff1ahttps:\/\/github.com\/deepseek-ai\/DeepSeek-OCR-2\/blob\/main\/DeepSeek_OCR2_paper.pdf<\/p>\n

\n

\u7248\u6743\u58f0\u660e\uff1a<\/strong><\/p>\n

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henry \u53d1\u81ea \u51f9\u975e\u5bfa<\/p>\n

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DeepSeek-OCR 2\uff0c\u4e3b\u6253\u5c06PDF\u6587\u6863\u7cbe\u51c6\u8f6c\u6362Markdown\u3002<\/p>\n

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