GitHub - jpainam/self_attention_grid: Learning attention representation using Self Attention Grid for Person re-id. Leverage the feature of a low level to enhance the representation learning of the upper layer.

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Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
.idea		.idea
26132.jpg		26132.jpg
README.md		README.md
TestAttention.py		TestAttention.py
attention.py		attention.py
attention_module.py		attention_module.py
basic_layers.py		basic_layers.py
cuhk03_rerank.py		cuhk03_rerank.py
data_manager.py		data_manager.py
dataset_loader.py		dataset_loader.py
eval_cuhk03.py		eval_cuhk03.py
evaluate.py		evaluate.py
evaluate_gpu.py		evaluate_gpu.py
evaluate_rerank.py		evaluate_rerank.py
hacnn.py		hacnn.py
image_folder_loader.py		image_folder_loader.py
img.jpg		img.jpg
model.py		model.py
prepare.py		prepare.py
pytorch_CAM.py		pytorch_CAM.py
random_erasing.py		random_erasing.py
re_index.py		re_index.py
re_ranking.py		re_ranking.py
reid_attention.py		reid_attention.py
residual_attention_network.py		residual_attention_network.py
resnet_attention.py		resnet_attention.py
resnet_default.py		resnet_default.py
test.py		test.py
test_cuhk03.py		test_cuhk03.py
test_model.py		test_model.py
test_reid.py		test_reid.py
train.py		train.py
train2.py		train2.py
utils.py		utils.py
vgg_attention.py		vgg_attention.py
viewresnet.py		viewresnet.py
visualize_attention.py		visualize_attention.py
visualize_net_attention.py		visualize_net_attention.py

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