- 17 4月, 2018 1 次提交
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由 Dang Qingqing 提交于
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- 16 4月, 2018 5 次提交
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由 Dang Qingqing 提交于
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由 Dang Qingqing 提交于
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由 Dang Qingqing 提交于
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由 Yuan Gao 提交于
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由 Dang Qingqing 提交于
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- 13 4月, 2018 7 次提交
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由 walloollaw 提交于
* fix code style problems * fix bug when loading fluid model * fix code style problem in brain.py * update readme.md for caffe2fluid * fix code style and add save_inference_model in caffe2fluid
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由 whs 提交于
Refine document and scripts of CTC model.
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由 whs 提交于
README.md for MobileNet-SSD.
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由 dangqingqing 提交于
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由 gx-wind 提交于
Add MomentumIteratorAttack to Advbox
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由 buaawht 提交于
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- 12 4月, 2018 7 次提交
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由 Dang Qingqing 提交于
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由 Yuan Gao 提交于
* fix expand data aug * fix expand data aug
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由 qingqing01 提交于
* Enable ParallelExecutor in SSD-MobileNet and Refine code. * Change the pre-trained model URL. * Follow comments.
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由 Dang Qingqing 提交于
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- 11 4月, 2018 7 次提交
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由 Dang Qingqing 提交于
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由 wanghaoshuang 提交于
1. Remove unused arguments. 2. Refine doc. 3. Change 'device' to 'use_gpu'.
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由 Dang Qingqing 提交于
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由 Guo Sheng 提交于
Avoid predicting <pad> by restricting the size of fc_layer in Transformer
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由 walloollaw 提交于
* fix code style problems * fix bug when loading fluid model * fix code style problem in brain.py
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- 10 4月, 2018 3 次提交
- 09 4月, 2018 2 次提交
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由 qingqing01 提交于
* Refine SE-ResNeXt model and use ParallelExecutor. * Fix code style. * Follow comments.
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由 guosheng 提交于
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- 08 4月, 2018 8 次提交
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由 guosheng 提交于
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由 guosheng 提交于
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由 Guo Sheng 提交于
Decouple the program desc with batch_size in Transformer.
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由 guosheng 提交于
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由 wanghaoshuang 提交于
1. Remove illustration of arguments. 2. Make inference support for more format input.
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由 Xingyuan Bu 提交于
* ready to coco_reader * complete coco_reader.py & coco_train.py * complete coco reader * rename file * use argparse instead of explicit assignment * fix * fix reader bug for some gray image in coco data * ready to train coco * fix bug in test() * fix bug in test() * change coco dataset to coco2017 dataset * change dataset from coco to coco2017 * change learning rate * fix bug in gt label (category id 2 label) * fix bug in background label * save model when train finished
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由 guosheng 提交于
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由 guosheng 提交于
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