CIPA 2023 Symposium

• Formulations of key point extraction and matching pipelines with deep networks. • Application of geometric constraints into the training of deep networks. • Leveraging additional cues such as semantics and monodepth estimates. • Methods addressing adversarial conditions where current methods fail (weather changes, day versus night, etc.). • Attention mechanisms to match salient image regions. • Integration of differentiable components into 3D reconstruction frameworks. • Connecting local descriptors/image matching with global descriptors/image retrieval. • Matching across different data modalities such as aerial versus ground. • Largescale evaluation of classical and modern methods for image matching by means of our open challenge. • New perception devices such as eventbased cameras. • Other topics related to image matching, structure from motion, mapping and relocalisation, such as privacypreserving representations.