CVPR 2013

Cartesian K-Means

CVPR 2013 norouzi/ckmeans

A fundamental limitation of quantization techniques like the k-means clustering algorithm is the storage and runtime cost associated with the large numbers of clusters required to keep quantization errors small and model fidelity high.

OBJECT RECOGNITION QUANTIZATION

Salient Object Detection: A Discriminative Regional Feature Integration Approach

CVPR 2013 mjahanifar/mDRFI_matlab

Our method, which is based on multi-level image segmentation, utilizes the supervised learning approach to map the regional feature vector to a saliency score.

SALIENT OBJECT DETECTION SEMANTIC SEGMENTATION

A Fast Semidefinite Approach to Solving Binary Quadratic Problems

CVPR 2013 Axeldnahcram/biconvex_relaxation

Second, compared with conventional SDP methods, the new SDP formulation leads to a significantly more efficient and scalable dual optimization approach, which has the same degree of complexity as spectral methods.

SEMANTIC SEGMENTATION