Search Results for author:
Found 3 papers, 2 papers with code
AlphaNet: An Attention Guided Deep Network for Automatic Image Matting
To achieve complete automatic foreground extraction in natural scenes, we propose a method that assimilates semantic segmentation and deep image matting processes into a single network to generate detailed semantic mattes for image composition task.
MILDNet: A Lightweight Single Scaled Deep Ranking Architecture
Inspired by the fact that successive CNN layers represent the image with increasing levels of abstraction, we compressed our deep ranking model to a single CNN by coupling activations from multiple intermediate layers along with the last layer.
Ranked #2 on
Image Retrieval
on street2shop - topwear
Retrieving Similar E-Commerce Images Using Deep Learning
In this paper, we propose a deep convolutional neural network for learning the embeddings of images in order to capture the notion of visual similarity.
Ranked #1 on
Image Retrieval
on street2shop - topwear
