- 26 5月, 2016 1 次提交
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由 Evan Shelhamer 提交于
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- 25 5月, 2016 1 次提交
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由 Evan Shelhamer 提交于
FCN-AlexNet is trained with gradient accumulation and normalized loss. online learning with unnormalized loss was unstable for FCN-AlexNet
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- 20 5月, 2016 14 次提交
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由 Evan Shelhamer 提交于
The usual FCN-32/16/8s on the 59 class task of the PASCAL-Context full object and scene labeling of PASCAL VOC 2010.
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由 Evan Shelhamer 提交于
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由 Evan Shelhamer 提交于
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由 Evan Shelhamer 提交于
These nets are jointly trained for segmentation of semantic and geometric classes since this dataset includes annotations for both. - FCN-32s SIFT Flow - FCN-16s SIFT Flow - FCN-8s SIFT Flow TODO: fix semantic class evaluation for this dataset, which requires special care since there are missing classes in the test set.
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由 Evan Shelhamer 提交于
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由 Evan Shelhamer 提交于
- FCN-32s Color: FCN-32s arch on BGR input - FCN-32s HHA: FCN-32s arch on HHA input - FCN-32s Color-Depth (early): early fusion for BGR-D input - FCN-32s Color-HHA (late): late fusion of FCN-32s Color + FCN-32s HHA
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由 Evan Shelhamer 提交于
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由 Evan Shelhamer 提交于
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由 Evan Shelhamer 提交于
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由 Evan Shelhamer 提交于
...even though testing is handled apart from the solver
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由 Evan Shelhamer 提交于
This net is fine-tuned from VGG-16 all-at-once instead of in stages. All-at-once learning is faster and less tedious but gives an ever-so-slightly less accurate model.
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由 Evan Shelhamer 提交于
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由 Evan Shelhamer 提交于
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由 Evan Shelhamer 提交于
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- 22 4月, 2016 5 次提交
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由 Evan Shelhamer 提交于
pull modules out of Caffe for portability
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由 Evan Shelhamer 提交于
master edition of `Crop` requires parameters (as defined by coord_map) in net spec
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由 Evan Shelhamer 提交于
The SBD train and VOC 2011 segval splits intersect, so the paper reports validation scores for the non-intersecting part of SBD train and seg11val which we call "seg11valid"
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由 Evan Shelhamer 提交于
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由 Evan Shelhamer 提交于
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- 14 4月, 2016 1 次提交
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由 Evan Shelhamer 提交于
include preliminary version of reference PASCAL models for PAMI edition
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