Replication Data for: Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware (doi:10.21979/N9/NB6FU2)

View:

Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
Entire Codebook

Replication Data for: Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware

doi:10.21979/N9/NB6FU2

DR-NTU (Data)

2023-12-14

1

Kong, Hao; Liu, Weichen, 2023, "Replication Data for: Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware", https://doi.org/10.21979/N9/NB6FU2, DR-NTU (Data), V1

Replication Data for: Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware

doi:10.21979/N9/NB6FU2

Kong, Hao (Nanyang Technological University)

Liu, Weichen (Nanyang Technological University)

PyCharm

NAP (M4082282)

DR-NTU (Data)

Kong, Hao

Kong, Hao

2023-05-13

https://doi.org/10.21979/N9/NB6FU2

Computer and Information Science, Computer and Information Science, Model compression, Dynamic image cropping

This dataset is created to store the related data of the following published paper: Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Weichen Liu*, Ravi Subramaniam, Christian Makaya, Qian Lin, “Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware”, ACM/IEEE International Conference on Computer-Aided Design (ICCAD), 2022.

Source code

MIT License<br> Copyright (c) 2022 Hao Kong<br><br> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:<br><br> The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.<br><br> THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

10.1145/3508352.3549397

Kong, H., Liu, D., Huai, S., Luo, X., Liu, W., Subramaniam, R., ... & Lin, Q. (2022, October). Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware. In Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design (pp. 1-9).

10356/164833

Kong, H., Liu, D., Huai, S., Luo, X., Liu, W., Subramaniam, R., ... & Lin, Q. (2022, October). Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware. In Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design (pp. 1-9).

Label:

activations_and_gradients-1.py

text/x-python

Label:

anynet-1.py

text/x-python

Label:

augment-1.py

text/x-python

Label:

blocks-1.py

text/x-python

Label:

cam-1.py

text/x-python

Label:

checkpoint-1.py

text/x-python

Label:

cifar-1.py

text/x-python

Label:

cifar_dynamic-1.yaml

application/octet-stream

Label:

config-1.py

text/x-python

Label:

crop-1.py

text/x-python

Label:

cropnet-1.py

text/x-python

Label:

crop_resnet18-1.yaml

application/octet-stream

Label:

dataloader-1.py

text/x-python

Label:

distributed-1.py

text/x-python

Label:

dynamic-1.py

text/x-python

Label:

efficientnet-1.py

text/x-python

Label:

effnet_b0-1.yaml

application/octet-stream

Label:

eval_camcrop-1.yaml

application/octet-stream

Label:

finetune_effnet_b0-1.yaml

application/octet-stream

Label:

finetune_regnet-1.yaml

application/octet-stream

Label:

finetune_resnet50-1.yaml

application/octet-stream

Label:

guassian_hp-1.py

text/x-python

Label:

image-1.py

text/x-python

Label:

imagenet100_resnet18-1.yaml

application/octet-stream

Label:

imagenet-1.py

text/x-python

Label:

logging-1.py

text/x-python

Label:

main-1.py

text/x-python

Label:

main_worker-1.py

text/x-python

Label:

meters-1.py

text/x-python

Label:

mobilenet_v2-1.py

text/x-python

Label:

models-1.py

text/x-python

Label:

net-1.py

text/x-python

Label:

optimizer-1.py

text/x-python

Label:

README-1.md

text/markdown

Label:

regnet-1.py

text/x-python

Label:

regnet-1.yaml

application/octet-stream

Label:

regnet_dynamic-1.yaml

application/octet-stream

Label:

resnet-1.py

text/x-python

Label:

resnet50-1.yaml

application/octet-stream

Label:

resnet_dynamic-1.yaml

application/octet-stream

Label:

save_camcrop_resnet50-1.yaml

application/octet-stream

Label:

save_cropnet_anynet_light_box-1.yaml

application/octet-stream

Label:

smart-scissor_1-1.yaml

application/octet-stream

Label:

smart-scissor_2-1.yaml

application/octet-stream

Label:

smart-scissor_3-1.yaml

application/octet-stream

Label:

smart-scissor_4-1.yaml

application/octet-stream

Label:

smart-scissor_5-1.yaml

application/octet-stream

Label:

smart-scissor_6-1.yaml

application/octet-stream

Label:

smart-scissor_dynamic-1.yaml

application/octet-stream

Label:

train_cropnet_anynet_light_box-1.yaml

application/octet-stream

Label:

train_cropnet_effnet-b0-1.yaml

application/octet-stream

Label:

train_cropnet_effnet-b1-1.yaml

application/octet-stream

Label:

train_cropnet_regnet-x_1.6gf-1.yaml

application/octet-stream

Label:

train_cropnet_regnet-x_800mf-1.yaml

application/octet-stream

Label:

train_cropnet_resnet18-1.yaml

application/octet-stream

Label:

train_cropnet_resnet34-1.yaml

application/octet-stream

Label:

train_resnet50_hp-1.yaml

application/octet-stream

Label:

train_tuner-1.yaml

application/octet-stream

Label:

transforms-1.py

text/x-python

Label:

utils-1.py

text/x-python

Label:

utils-1.py

text/x-python

Label:

vgg-1.py

text/x-python

Label:

vgg_cifar-1.yaml

application/octet-stream