Image Similarity Ranking using Deep CNN

Goal: find top n and bottom n images most similar with respect to a query image

a triplet sampling module
3 copies of a deep CNN image encoder to convert images into the corresponding latent vectors
an image ranking layer; use max margin triplet loss measured in Euclidean distance in latent space
a visualization module to plot the top 10 and bottom 10 similar images w.r.t. a query image

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
README.md		README.md
dataSet.py		dataSet.py
eval.py		eval.py
example1.png		example1.png
example2.png		example2.png
getEmbed.py		getEmbed.py
plot5results.py		plot5results.py
result1.png		result1.png
result2.png		result2.png
result3.png		result3.png
result4.png		result4.png
result5.png		result5.png
sampler.py		sampler.py
show5results.py		show5results.py
show5results.txt		show5results.txt
test_output.txt		test_output.txt
train.py		train.py
train_loss.png		train_loss.png
training_loss.txt		training_loss.txt