Search Results for author:
Found 2 papers, 1 papers with code
Texture Synthesis Guided Deep Hashing for Texture Image Retrieval
In the next stage, a second network gathers the multi-scale feature representations from the TSN's intermediate layers using channel-wise attention, combines them in a progressive manner to a dense continuous representation which is finally converted into a binary hash code with the help of individual and pairwise label information.
Cogni-Net: Cognitive Feature Learning through Deep Visual Perception
Can we ask computers to recognize what we see from brain signals alone?
Cannot find the paper you are looking for? You can
Submit a new open access paper.
