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parent directory ..
backbone	backbone
configs	configs
images	images
tools	tools
README.md	README.md
align_resize.py	align_resize.py
dist_test.sh	dist_test.sh
dist_train.sh	dist_train.sh
get_flops.py	get_flops.py
image_demo.py	image_demo.py
test.py	test.py
train.py	train.py

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Applying EfficientMod to Semantic Segmentation

Our semantic segmentation implementation is based on MMSegmentation v0.19.0 and PVT segmentation. Thank the authors for their wonderful works.

Usage

Install MMSegmentation v0.19.0.

Prepare ADE20K according to the guidelines in MMSegmentation.

Method	Backbone	Pretrain	Iters	mIoU	Download
Semantic FPN	EfficientMod-s-Conv	ImageNet-1K	40K	43.5	[checkpoint & log]
Semantic FPN	EfficientMod-s	ImageNet-1K	40K	46.0	[checkpoint & log]

To evaluate EfficientMod + Semantic FPN on a single node with 8 GPUs run:

dist_test.sh configs/sem_fpn/{configure-file}.py /path/to/checkpoint_file 8 --out results.pkl --eval mIoU

To train EfficientMod + Semantic FPN on a single node with 8 GPUs run:

dist_train.sh configs/sem_fpn/{configure-file}.py 8