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ModelZoo
ResNet50_tensorflow
Commits
00290275
Commit
00290275
authored
Jul 12, 2021
by
Hongkun Yu
Committed by
A. Unique TensorFlower
Jul 12, 2021
Browse files
[Docs] Update supported TF-Vision models to the official/README.md
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00290275
...
@@ -40,7 +40,7 @@ In the near future, we will add:
...
@@ -40,7 +40,7 @@ In the near future, we will add:
| Model | Reference (Paper) |
| Model | Reference (Paper) |
|-------|-------------------|
|-------|-------------------|
|
[
MNIST
](
vision/image_classification
)
| A basic model to classify digits from the
[
MNIST dataset
](
http://yann.lecun.com/exdb/mnist/
)
|
|
[
MNIST
](
vision/image_classification
)
| A basic model to classify digits from the
[
MNIST dataset
](
http://yann.lecun.com/exdb/mnist/
)
|
|
[
ResNet
](
vision/
image_classification
)
|
[
Deep Residual Learning for Image Recognition
](
https://arxiv.org/abs/1512.03385
)
|
|
[
ResNet
](
vision/
beta/MODEL_GARDEN.md
)
|
[
Deep Residual Learning for Image Recognition
](
https://arxiv.org/abs/1512.03385
)
|
|
[
ResNet-RS
](
vision/beta/MODEL_GARDEN.md
)
|
[
Revisiting ResNets: Improved Training and Scaling Strategies
](
https://arxiv.org/abs/2103.07579
)
|
|
[
ResNet-RS
](
vision/beta/MODEL_GARDEN.md
)
|
[
Revisiting ResNets: Improved Training and Scaling Strategies
](
https://arxiv.org/abs/2103.07579
)
|
|
[
EfficientNet
](
vision/image_classification
)
|
[
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
](
https://arxiv.org/abs/1905.11946
)
|
|
[
EfficientNet
](
vision/image_classification
)
|
[
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
](
https://arxiv.org/abs/1905.11946
)
|
...
@@ -48,10 +48,10 @@ In the near future, we will add:
...
@@ -48,10 +48,10 @@ In the near future, we will add:
| Model | Reference (Paper) |
| Model | Reference (Paper) |
|-------|-------------------|
|-------|-------------------|
|
[
RetinaNet
](
vision/
d
et
ection
)
|
[
Focal Loss for Dense Object Detection
](
https://arxiv.org/abs/1708.02002
)
|
|
[
RetinaNet
](
vision/
b
et
a/MODEL_GARDEN.md
)
|
[
Focal Loss for Dense Object Detection
](
https://arxiv.org/abs/1708.02002
)
|
|
[
Mask R-CNN
](
vision/
d
et
ection
)
|
[
Mask R-CNN
](
https://arxiv.org/abs/1703.06870
)
|
|
[
Mask R-CNN
](
vision/
b
et
a/MODEL_GARDEN.md
)
|
[
Mask R-CNN
](
https://arxiv.org/abs/1703.06870
)
|
|
[
ShapeMask
](
vision/detection
)
|
[
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors
](
https://arxiv.org/abs/1904.03239
)
|
|
[
ShapeMask
](
vision/detection
)
|
[
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors
](
https://arxiv.org/abs/1904.03239
)
|
|
[
SpineNet
](
vision/
d
et
ection
)
|
[
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
](
https://arxiv.org/abs/1912.05027
)
|
|
[
SpineNet
](
vision/
b
et
a/MODEL_GARDEN.md
)
|
[
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
](
https://arxiv.org/abs/1912.05027
)
|
### Natural Language Processing
### Natural Language Processing
...
...
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