fine_grained_classification

Studying fine grained classification on CUB2002011 dataset. This repo contains:

Implementation of "Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition" without MAMC loss function. (No plans to MAMC module implementation now)
Implementation of [MIRU2018] Global Average Poolingの特性を用いたAttention Branch Network

Networks

ResNet50
ResNet50 + OSME
InceptionV3
InceptionV3 + OSME
SE-InceptionV3
SE-InceptionV3 + OSME
SE-InceptionV3 + Attention Branch Network

Name		Name	Last commit message	Last commit date
Latest commit History 42 Commits
__pycache__		__pycache__
database		database
=1.9.0		=1.9.0
README.md		README.md
Readme.py		Readme.py
cifar10_resnet50.py		cifar10_resnet50.py
elephant.jpg		elephant.jpg
grad_cam.py		grad_cam.py
history_inceptv3_with_OSME_miru_4481211-152929.json		history_inceptv3_with_OSME_miru_4481211-152929.json
mnist_cnn.py		mnist_cnn.py
mobilenet_without_MAMC.py		mobilenet_without_MAMC.py
model.png		model.png
model_OSME_miru.py		model_OSME_miru.py
model_OSME_miru_beta.py		model_OSME_miru_beta.py
model_OSME_miru_crop_dog_APN.py		model_OSME_miru_crop_dog_APN.py
model_OSME_miru_crop_dog_test.py		model_OSME_miru_crop_dog_test.py
model_OSME_miru_dog.py		model_OSME_miru_dog.py
model_inceptv3.png		model_inceptv3.png
model_inceptv3_miru.png		model_inceptv3_miru.png
model_miru.py		model_miru.py
model_resnet50_with_OSME.py		model_resnet50_with_OSME.py
model_resnet50_with_rescale_no_trainable.py		model_resnet50_with_rescale_no_trainable.py
model_seinceptv3_with_OSME.py		model_seinceptv3_with_OSME.py
model_with_OSME.py		model_with_OSME.py
model_with_OSME_SE.py		model_with_OSME_SE.py
model_with_OSME_SE_alpha.py		model_with_OSME_SE_alpha.py
model_with_OSME_SE_alpha_p.py		model_with_OSME_SE_alpha_p.py
model_with_OSME_crop.py		model_with_OSME_crop.py
model_with_OSME_se.py		model_with_OSME_se.py
model_with_OSME_vmmrdb.py		model_with_OSME_vmmrdb.py
model_without_MAMC.py		model_without_MAMC.py
model_without_OSME.py		model_without_OSME.py
otsu.py		otsu.py
res-net-101.py		res-net-101.py
resnet50_alpha.py		resnet50_alpha.py
resnet50_model.png		resnet50_model.png
se_block.py		se_block.py
se_inception_v3.py		se_inception_v3.py
se_inception_v3_1.py		se_inception_v3_1.py
test0.py		test0.py
train_test_splitter.py		train_test_splitter.py
vgg16_model_withou_MAMC.py		vgg16_model_withou_MAMC.py
vgg19_model_without_MAMC.py		vgg19_model_without_MAMC.py

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