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Add new resnet18 and resnet34 re-trained models and logs (#76)
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* add imagenet scripts to model zoo

* more resnet results

* add resnet v1

* fix table

* fix table

* fix table

* add download

* add new resnet18/34 models and logs

* correct numbers

* add resnet50 v1 logs
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@hetong007
hetong007 authored Apr 30, 2018
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Showing 1 changed file with 5 additions and 5 deletions.
10 changes: 5 additions & 5 deletions docs/model_zoo/index.rst
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Expand Up @@ -60,19 +60,19 @@ Besides the listed, we provide more models trained on ImageNet in the upstream
+-------------------+--------+--------+---------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------+
| Model | Top-1 | Top-5 | Training Command | Training Log |
+===================+========+========+=================================================================================================================================+===============================================================================================================================+
| ResNet18_v1 [1]_ | 0.6803 | 0.8818 | `shell script <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet18_v1.sh>`_ | |
| ResNet18_v1 [1]_ | 0.7039 | 0.8959 | `shell script <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet18_v1.sh>`_ | `log <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet18_v1.log>`_ |
+-------------------+--------+--------+---------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------+
| ResNet34_v1 [1]_ | 0.7202 | 0.9066 | `shell script <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet34_v1.sh>`_ | |
| ResNet34_v1 [1]_ | 0.7411 | 0.9184 | `shell script <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet34_v1.sh>`_ | `log <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet34_v1.log>`_ |
+-------------------+--------+--------+---------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------+
| ResNet50_v1 [1]_ | 0.7540 | 0.9266 | `shell script <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet50_v1.sh>`_ | |
| ResNet50_v1 [1]_ | 0.7540 | 0.9266 | `shell script <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet50_v1.sh>`_ | `log <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet50_v1.log>`_ |
+-------------------+--------+--------+---------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------+
| ResNet101_v1 [1]_ | 0.7693 | 0.9334 | `shell script <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet101_v1.sh>`_ | |
+-------------------+--------+--------+---------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------+
| ResNet152_v1 [2]_ | 0.7727 | 0.9353 | `shell script <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet152_v1.sh>`_ | |
+-------------------+--------+--------+---------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------+
| ResNet18_v2 [3]_ | 0.6961 | 0.8901 | `shell script <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet18_v2.sh>`_ | |
| ResNet18_v2 [3]_ | 0.7037 | 0.8962 | `shell script <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet18_v2.sh>`_ | `log <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet18_v2.log>`_ |
+-------------------+--------+--------+---------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------+
| ResNet34_v2 [2]_ | 0.7324 | 0.9125 | `shell script <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet34_v2.sh>`_ | |
| ResNet34_v2 [2]_ | 0.7389 | 0.9178 | `shell script <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet34_v2.sh>`_ | `log <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet34_v2.log>`_ |
+-------------------+--------+--------+---------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------+
| ResNet50_v2 [2]_ | 0.7622 | 0.9297 | `shell script <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet50_v2.sh>`_ | `log <https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/logs/classification/imagenet/resnet50_v2.log>`_ |
+-------------------+--------+--------+---------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------+
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