Image Specificity ( Supplementary material

Supplementary Material: Deep Adaptive Image Clustering

This is the supplementary material for the paper entitled “Deep Adaptive Image Clustering”. The supplementary material is organized as follows. Section 1 gives the mapping function described in Figure 1. Section 2 presents the proof of Theorem 1. Section 3 details the experimental settings in our experiments. 1. The Mapping Function Utilized in Figure 1 We assume that li represents the label fe...

Aggregating Image and Text Quantized Correlated Components Supplementary Material

This is the supplementary material to the article Aggregating Image and Text Quantized Correlated Components published at CVPR 2016. While not necessary to understand the work exposed in the paper, it reports some complementary results or “interesting negative results”. Last section focuses on providing implementation details to reproduce the experiments, in particular regarding the material co...

Learning a Dictionary of Shape Epitomes with Applications to Image Labeling: Supplementary Material

In the main paper, we have proposed a new representation for image shape: a dictionary of shape epitomes, which explicitly include hidden variables to encode shift and rotation. We have also applied this representation for semantic image labeling. In this supplementary material, we further show the versatility of shape epitomes by employing them for edge detection and local appearance modeling.

Supplementary Material for “A Principled Deep Random Field Model for Image Segmentation”

Combining Geometric, Textual and Visual Features for Predicting Prepositions in Image Descriptions: Supplementary Material

Prepositions in Image Descriptions: Supplementary Material Arnau Ramisa* Josiah Wang* Ying Lu Emmanuel Dellandrea Francesc Moreno-Noguer Robert Gaizauskas 1 Institut de Robòtica i Informàtica Industrial (UPC-CSIC), Barcelona, Spain 2 Department of Computer Science, University of Sheffield, UK 3 LIRIS, École Centrale de Lyon, France {aramisa, fmoreno}@iri.upc.edu {j.k.wang, r.gaizauskas}@sheffie...