Search Results for author: Elisabeth Wetzer

Found 3 papers, 2 papers with code

Can representation learning for multimodal image registration be improved by supervision of intermediate layers?

no code implementations1 Mar 2023 Elisabeth Wetzer, Joakim Lindblad, Nataša Sladoje

Contrastive learning can generate representations of multimodal images, reducing the challenging task of multimodal image registration to a monomodal one.

Contrastive Learning Image Classification +3

Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations

1 code implementation10 Jan 2022 Eva Breznik, Elisabeth Wetzer, Joakim Lindblad, Nataša Sladoje

We propose a new application-independent content-based image retrieval (CBIR) system for reverse (sub-)image search across modalities, which combines deep learning to generate representations (embedding the different modalities in a common space) with classical feature extraction and bag-of-words models for efficient and reliable retrieval.

Content-Based Image Retrieval Retrieval

CoMIR: Contrastive Multimodal Image Representation for Registration

1 code implementation NeurIPS 2020 Nicolas Pielawski, Elisabeth Wetzer, Johan Öfverstedt, Jiahao Lu, Carolina Wählby, Joakim Lindblad, Nataša Sladoje

We propose contrastive coding to learn shared, dense image representations, referred to as CoMIRs (Contrastive Multimodal Image Representations).

Image-to-Image Translation

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