avalonstrel / TCNet

Implementation of TC-Net for iSBIR: Triplet Classification Network for instance-level Sketch Based Image Retrieval.
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和文章实验结果不相同 #1

Open maogewudi007 opened 4 years ago

maogewudi007 commented 4 years ago

你好,请问我跑的结果为什么这么低了?跟 loss_type, loss_ratio,epoch number ,batch size 设置有关吗?

1069066484 commented 3 years ago

我在复现sketchy和shoeV20上的结果的时候也遇到了很大的问题

avalonstrel commented 3 years ago

请问你的数据读取是如何的?这个结果看上去是数据读取出了问题

你好,请问我跑的结果为什么这么低了?跟 loss_type, loss_ratio,epoch number ,batch size 设置有关吗?

avalonstrel commented 3 years ago

我在复现sketchy和shoeV20上的结果的时候也遇到了很大的问题

具体是什么问题呢?

1069066484 commented 3 years ago

shoesv2-tpl_ctr-densebn simple - top-10:0.0480 top-1:0.0045 multi-view - top-10:0.0480 top-1:0.0045 best: 0.0060 0.0060 0.0526 0.0526 ^Me:1631, tl: 0.1795, cl: 1629.9504^Me:1632, tl: 0.2424, cl: 1663.7278^Me:1633, tl: 0.2541, cl: 1624.0231^Me:1634, tl: 0.1403, cl: 1636.9192^Me:1635, tl: 0.2912, cl: 1621.8750^Me:1636, tl: 0.2311, cl: 1632.8440^Me:1637, tl: 0.2681, cl: 1625.1345^Me:1638, tl: 0.1612, cl: 1656.5160^Me:1639, tl: 0.3250, cl: 1620.4327^Me:1640, tl: 0.1904, cl: 1633.0084 shoesv2-tpl_ctr-densebn simple - top-10:0.0480 top-1:0.0045 multi-view - top-10:0.0495 top-1:0.0045 best: 0.0060 0.0060 0.0526 0.0526 ^Me:1641, tl: 0.2417, cl: 1635.9622^Me:1642, tl: 0.1013, cl: 1650.4355^Me:1643, tl: 0.2621, cl: 1622.6403^Me:1644, tl: 0.1536, cl: 1619.6001^Me:1645, tl: 0.2575, cl: 1620.7141^Me:1646, tl: 0.1686, cl: 1627.1970^Me:1647, tl: 0.2079, cl: 1608.3019^Me:1648, tl: 0.1656, cl: 1615.1160^Me:1649, tl: 0.0884, cl: 1612.2423^Me:1650, tl: 0.1729, cl: 1629.8113 shoesv2-tpl_ctr-densebn simple - top-10:0.0480 top-1:0.0045 multi-view - top-10:0.0480 top-1:0.0045 best: 0.0060 0.0060 0.0526 0.0526 ^Me:1651, tl: 0.1934, cl: 1644.9038^Me:1652, tl: 0.2085, cl: 1647.1670^Me:1653, tl: 0.1661, cl: 1619.4688^Me:1654, tl: 0.2522, cl: 1622.1820^Me:1655, tl: 0.1475, cl: 1651.9650^Me:1656, tl: 0.2276, cl: 1623.6426^Me:1657, tl: 0.1119, cl: 1606.4905^Me:1658, tl: 0.2376, cl: 1613.8765^Me:1659, tl: 0.2265, cl: 1631.6599^Me:1660, tl: 0.1403, cl: 1629.7939 shoesv2-tpl_ctr-densebn simple - top-10:0.0495 top-1:0.0045 multi-view - top-10:0.0495 top-1:0.0045 best: 0.0060 0.0060 0.0526 0.0526 ^Me:1661, tl: 0.1593, cl: 1622.0964^Me:1662, tl: 0.2563, cl: 1621.9280^Me:1663, tl: 0.1992, cl: 1598.5913^Me:1664, tl: 0.1779, cl: 1609.7107^Me:1665, tl: 0.1864, cl: 1624.9958^Me:1666, tl: 0.1708, cl: 1599.4583^Me:1667, tl: 0.3351, cl: 1634.4449^Me:1668, tl: 0.1856, cl: 1608.7537^Me:1669, tl: 0.1152, cl: 1613.7732^Me:1670, tl: 0.2274, cl: 1618.9778 shoesv2-tpl_ctr-densebn simple - top-10:0.0511 top-1:0.0045 multi-view - top-10:0.0511 top-1:0.0045 best: 0.0060 0.0060 0.0526 0.0526

这个是tcnet训练shoev2的一个日志片段,似乎无法收敛。

1069066484 commented 3 years ago

你现在还是在复旦吗?

avalonstrel commented 3 years ago

你现在还是在复旦吗?

目前还在,我想知道的是这个数据读取是不是正常,我最早的时候因为数据的问题出现过类似的结果,不知道你哪里数据读取是否正确。

avalonstrel commented 3 years ago

可以检查一下读出来是不是0?

1069066484 commented 3 years ago

我本科在交大做SBIR做了一年多,现在是复旦研一新生。虽然老板不做这个方向,但是我还是有些想法。不过最近很忙,没时间弄SBIR的实验,不过有机会还希望可以和你们组多多交流。我微信是l1069066484,能否沟通一下。