Search Results for author:
Found 7 papers, 3 papers with code
Semantic-Aware Dual Contrastive Learning for Multi-label Image Classification
Specifically, we leverage semantic-aware representation learning to extract category-related local discriminative features and construct category prototypes.
Ranked #1 on
Multi-Label Learning
on COCO 2014
Urban feature analysis from aerial remote sensing imagery using self-supervised and semi-supervised computer vision
Analysis of overhead imagery using computer vision is a problem that has received considerable attention in academic literature.
Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense
Moreover, adversarially training a defense model in general cannot produce interpretable predictions towards the inputs with perturbations, whilst a highly interpretable robust model is required by different domain experts to understand the behaviour of a DNN.
Cross-View Panorama Image Synthesis
In this paper, we tackle the problem of synthesizing a ground-view panorama image conditioned on a top-view aerial image, which is a challenging problem due to the large gap between the two image domains with different view-points.
Identifying safe intersection design through unsupervised feature extraction from satellite imagery
The World Health Organization has listed the design of safer intersections as a key intervention to reduce global road trauma.
Sky pixel detection in outdoor imagery using an adaptive algorithm and machine learning
To address this problem, we present a new sky pixel detection system demonstrated to produce accurate results using a wide range of outdoor imagery types.
Streetscape augmentation using generative adversarial networks: insights related to health and wellbeing
Deep learning using neural networks has provided advances in image style transfer, merging the content of one image (e. g., a photo) with the style of another (e. g., a painting).
