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Bootstrapping Parallel Anchors for Relative Representations
The use of relative representations for latent embeddings has shown potential in enabling latent space communication and zero-shot …
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Bootstrapping Parallel Anchors for Relative Representations
Certification of Gaussian Boson Sampling via graphs feature vectors and kernels
Gaussian Boson Sampling (GBS) is a non-universal model for quantum computing inspired by the original formulation of the Boson Sampling …
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Certification of Gaussian Boson Sampling via graphs feature vectors and kernels
Few-Shot Object Detection: A Survey
Deep learning approaches have recently raised the bar in many fields, from Natural Language Processing to Computer Vision, by …
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Few-Shot Object Detection: A Survey
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification
Computer-aided diagnosis (CAD) is becoming a prominent approach to assist clinicians spanning across multiple fields. These automated …
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Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification
Learning Spectral Unions of Partial Deformable 3D Shapes
Spectral geometric methods have brought revolutionary changes to the field of geometry processing. Of particular interest is the study …
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Learning Spectral Unions of Partial Deformable 3D Shapes
3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature
The Average Mixing Kernel Signature is a novel spectral signature for points on non-rigid three-dimensional shapes. It is based on a …
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3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature
A Novel GAN-Based Anomaly Detection and Localization Method for Aerial Video Surveillance at Low Altitude
The last two decades have seen an incessant growth in the use of Unmanned Aerial Vehicles (UAVs) equipped with HD cameras for …
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A Novel GAN-Based Anomaly Detection and Localization Method for Aerial Video Surveillance at Low Altitude
Adversarial Permutation Invariant Training for Universal Sound Separation
Universal sound separation consists of separating mixes with arbitrary sounds of different types, and permutation invariant training …
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Adversarial Permutation Invariant Training for Universal Sound Separation
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
CLIP proved that aligning visual and language spaces is key to solving many vision tasks without explicit training, but required to …
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ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
Complex Functional Maps: A Conformal Link Between Tangent Bundles
Abstract In this paper, we introduce complex functional maps, which extend the functional map framework to conformal maps between …
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Complex Functional Maps: A Conformal Link Between Tangent Bundles