Results 11 to 20 of about 4,263,412 (310)
Residual modality alleviation and shape guided consistency learning for cross modality identification under complete modality missing. [PDF]
Sci RepCross-modality person re-identification (Re-ID) aims to match person infrared and RGB images across non-overlapping camera views. Most of existing methods rely on images of the same person under both infrared and RGB modalities, such cross-modality pairs
Zhang N, Wu J, Tang H.
europepmc +2 more sources
, 2023 Modality is a vast phenomenon. In fact, it is arguably a plurality of phenomena. Within it, one type of modality warrants distinctive interest in philosophy and, in particular, in metaphysics.
Roca Royes, Sonia
core +1 more source
Cross-Modality Guided Contrast Enhancement for Improved Liver Tumor Image Segmentation
IEEE Access, 2021 Tumor segmentation in Computed Tomography (CT) images is a crucial step in image-guided surgery. However, low-contrast CT images impede the performance of subsequent segmentation tasks.
Rabia Naseem +5 more
doaj +1 more source
Cross-Modality Person Re-Identification Based on Heterogeneous Center Loss and Non-Local Features
Entropy, 2021 Cross-modality person re-identification is the study of images of people matching under different modalities (RGB modality, IR modality). Given one RGB image of a pedestrian collected under visible light in the daytime, cross-modality person re ...
Chengmei Han +3 more
doaj +1 more source
Diachronic Cross-modal Embeddings [PDF]
Proceedings of the 27th ACM International Conference on Multimedia, 2019 Understanding the semantic shifts of multimodal information is only possible with models that capture cross-modal interactions over time. Under this paradigm, a new embedding is needed that structures visual-textual interactions according to the temporal dimension, thus, preserving data's original temporal organisation.
David Semedo, João Magalhães
openaire +4 more sources
Visible Infrared Person Re-Identification via Global-Level and Local-Level Constraints
IEEE Access, 2021 Visible infrared person re-identification (VI-ReID) is an extremely challenging task. VI-ReID suffers from two challenges. One is the cross-modality discrepancy due to different camera spectrums, the other is the intra-modality variation caused by the ...
Tianqi Zhang +4 more
doaj +1 more source
Cross-Modal Scene Networks [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 See more at http://cmplaces.csail.mit.edu/.
Yusuf Aytar +4 more
openaire +4 more sources
Cross-modal Adversarial Reprogramming [PDF]
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022 Accepted at WACV ...
Paarth Neekhara +5 more
openaire +3 more sources
Task-Decoupled Knowledge Transfer for Cross-Modality Object Detection
Entropy, 2023 In harsh weather conditions, the infrared modality can supplement or even replace the visible modality. However, the lack of a large-scale dataset for infrared features hinders the generation of a robust pre-training model.
Chiheng Wei +3 more
doaj +1 more source
Cross-Modal Manifold Learning for Cross-modal Retrieval
CoRR, 2016 This paper presents a new scalable algorithm for cross-modal similarity preserving retrieval in a learnt manifold space. Unlike existing approaches that compromise between preserving global and local geometries, the proposed technique respects both simultaneously during manifold alignment.
Sailesh Conjeti +3 more
openaire +3 more sources