Results 111 to 120 of about 328,450 (323)
Zero-Shot Hashing via Transferring Supervised Knowledge
Hashing has shown its efficiency and effectiveness in facilitating large-scale multimedia applications. Supervised knowledge e.g. semantic labels or pair-wise relationship) associated to data is capable of significantly improving the quality of hash ...
Frome A. +17 more
core +1 more source
Semantic gaps are dangerous Language adapts to the environment where it serves as a tool to communication. Language is a social agreement, and we all have to stick to both grammaticalized and non-grammaticalized rules in order to pass information about the world around us. As such language develops and adapts constantely.
Ejstrup, Michael +1 more
openaire +4 more sources
OBUSight: Clinically Aligned Generative AI for Ophthalmic Ultrasound Interpretation and Diagnosis
OBUSight, a clinically aligned generative AI model that jointly generates reports and predicts diseases through multimodal semantic alignment, was trained and validated on a large multicenter dataset. OBUSight outperformed eight state‐of‐the‐art models, provided clinically reliable reports, enhanced diagnostic efficiency, and achieved performance ...
Xiaocong Liu +17 more
wiley +1 more source
We carried out four timed judgement experiments investigating whether bilingual speakers differ in their sensitivity to different kinds of filler–gap dependency violation in L1 German and L2 English.
Aleksandra Trifonova, Claudia Felser
doaj +1 more source
Novel cross-dimensional coarse-fine-grained complementary network for image-text matching [PDF]
The fundamental aspects of multimodal applications such as image-text matching, and cross-modal heterogeneity gap between images and texts have always been challenging and complex.
Meizhen Liu +3 more
doaj +2 more sources
Image Understanding by Socializing the Semantic Gap [PDF]
Tiberio Uricchio
openalex +1 more source
Bridging the Gap between Synthetic and Natural Questions via Sentence Decomposition for Semantic Parsing [PDF]
Yilin Niu +5 more
openalex +1 more source
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao +10 more
wiley +1 more source

