Category: MATLAB

Image Piece Learning for Weakly Supervised Semantic Segmentation

Image Piece Learning for Weakly Supervised Semantic Segmentation Abstract: The task of semantic segmentation is to infer a predefined category label for each pixel in the image. For most cases, image segmentation is established as a fully supervised task. These methods all built on the basis of having access to sufficient pixel-wise annotated samples for […]


Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image Retrieval

Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image Retrieval  Abstract: As an emerging technology to support scalable content-based image retrieval (CBIR), hashing has recently received great attention and became a very active research domain. In this study, we propose a novel unsupervised visual hashing approach called semantic-assisted visual hashing (SAVH). Distinguished from semi-supervised and […]