Search Results for author:
Found 5 papers, 2 papers with code
Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders
Traditional image clustering methods take a two-step approach, feature learning and clustering, sequentially.
Ranked #4 on
Image Clustering
on Coil-20
A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network
In this paper, we tackle this problem by proposing a fast and compact saliency score regression network which employs fully convolutional network, a special deep convolutional neural network, to estimate the saliency of objects in images.
Effective Deterministic Initialization for $k$-Means-Like Methods via Local Density Peaks Searching
Based on these two components, we search for the local density peaks which are characterized with high local densities and high LDIs to deal with 1) and 2).
Ternary Weight Networks
We present a memory and computation efficient ternary weight networks (TWNs) - with weights constrained to +1, 0 and -1.
A New Manifold Distance Measure for Visual Object Categorization
The proposed distance is more robust to rotations and translations of images than the traditional manifold distance and the CW-SSIM index based distance.
