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Image similarity in AlexNet's last hidden layer is measured by
ACosine similarity over raw pixel patches
BEuclidean distance over 4096-D feature vectors
CHamming distance over hashed token codes
DCross-entropy between predicted class distributions
Answer & Solution
Correct answer: B. Euclidean distance over 4096-D feature vectors
Images with similar L2 distance between their 4096-D last-FC-layer activations are considered semantically similar — even when their pixels differ substantially (e.g., dogs in different poses).
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