2 papers
cs.CV2024
ConDL: Detector-Free Dense Image Matching
Monika Kwiatkowski, Simon Matern, Olaf Hellwich
In this work, we introduce a deep-learning framework designed for estimating dense image correspondences. Our fully convolutional model generates dense feature maps for images, whe…
cs.IR2022
Content-Based Landmark Retrieval Combining Global and Local Features using Siamese Neural Networks
Tianyi Hu, Monika Kwiatkowski, Simon Matern +1
In this work, we present a method for landmark retrieval that utilizes global and local features. A Siamese network is used for global feature extraction and metric learning, which…