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Showing 757-777 of 2,721 articles

PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking

Tracking multiple objects in a continuous video stream is crucial for many computer vision tasks. ...

Apr 2025 http://arxiv.org/abs/2504.09361v1

Patch distribution modeling framework adaptive cosine estimator (PaDiM-ACE) for anomaly detection and localization in synthetic aperture radar imagery

This work presents a new approach to anomaly detection and localization in synthetic aperture rada...

Apr 2025 http://arxiv.org/abs/2504.08049v2

Exploring a Patch-Wise Approach for Privacy-Preserving Fake ID Detection

In an increasingly digitalized world, verifying the authenticity of ID documents has become a crit...

Apr 2025 http://arxiv.org/abs/2504.07761v1

Patch Matters: Training-free Fine-grained Image Caption Enhancement via Local Perception

High-quality image captions play a crucial role in improving the performance of cross-modal applic...

Apr 2025 http://arxiv.org/abs/2504.06666v1

Don't Lag, RAG: Training-Free Adversarial Detection Using RAG

Adversarial patch attacks pose a major threat to vision systems by embedding localized perturbatio...

Apr 2025 http://arxiv.org/abs/2504.04858v1

Skin Color Measurement from Dermatoscopic Images: An Evaluation on a Synthetic Dataset

This paper presents a comprehensive evaluation of skin color measurement methods from dermatoscopi...

Apr 2025 http://arxiv.org/abs/2504.04494v1

SHapley Estimated Explanation (SHEP): A Fast Post-Hoc Attribution Method for Interpreting Intelligent Fault Diagnosis

Despite significant progress in intelligent fault diagnosis (IFD), the lack of interpretability re...

Apr 2025 http://arxiv.org/abs/2504.03773v1

All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning

The exponential growth of AI-generated images (AIGIs) underscores the urgent need for robust and g...

Apr 2025 http://arxiv.org/abs/2504.01396v1

GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology

Pretraining a Multiple Instance Learning (MIL) aggregator enables the derivation of Whole Slide Im...

Apr 2025 http://arxiv.org/abs/2504.01009v1

Coarse-to-Fine Learning for Multi-Pipette Localisation in Robot-Assisted In Vivo Patch-Clamp

In vivo image-guided multi-pipette patch-clamp is essential for studying cellular interactions and...

Mar 2025 http://arxiv.org/abs/2504.01044v1

An Integrated AI-Enabled System Using One Class Twin Cross Learning (OCT-X) for Early Gastric Cancer Detection

Early detection of gastric cancer, a leading cause of cancer-related mortality worldwide, remains ...

Mar 2025 http://arxiv.org/abs/2504.01038v1

ERUPT: Efficient Rendering with Unposed Patch Transformer

This work addresses the problem of novel view synthesis in diverse scenes from small collections o...

Mar 2025 http://arxiv.org/abs/2503.24374v1

FlexiMo: A Flexible Remote Sensing Foundation Model

The rapid expansion of multi-source satellite imagery drives innovation in Earth observation, open...

Mar 2025 http://arxiv.org/abs/2503.23844v1

Blurry-Edges: Photon-Limited Depth Estimation from Defocused Boundaries

Extracting depth information from photon-limited, defocused images is challenging because depth fr...

Mar 2025 http://arxiv.org/abs/2503.23606v1

Improved Ear Verification with Vision Transformers and Overlapping Patches

Ear recognition has emerged as a promising biometric modality due to the relative stability in app...

Mar 2025 http://arxiv.org/abs/2503.23275v1

Improving the Context Length and Efficiency of Code Retrieval for Tracing Security Vulnerability Fixes

In recent years, the rapid increase of security vulnerabilities has caused major challenges in man...

Mar 2025 http://arxiv.org/abs/2503.22935v1

A multi-locus predictiveness curve and its summary assessment for genetic risk prediction

With the advance of high-throughput genotyping and sequencing technologies, it becomes feasible to...

Mar 2025 http://arxiv.org/abs/2504.00024v1

One Look is Enough: A Novel Seamless Patchwise Refinement for Zero-Shot Monocular Depth Estimation Models on High-Resolution Images

Zero-shot depth estimation (DE) models exhibit strong generalization performance as they are train...

Mar 2025 http://arxiv.org/abs/2503.22351v1

Primary Care

Browse Categories

PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking

Patch distribution modeling framework adaptive cosine estimator (PaDiM-ACE) for anomaly detection and localization in synthetic aperture radar imagery

Exploring a Patch-Wise Approach for Privacy-Preserving Fake ID Detection

Patch Matters: Training-free Fine-grained Image Caption Enhancement via Local Perception

Don't Lag, RAG: Training-Free Adversarial Detection Using RAG

Skin Color Measurement from Dermatoscopic Images: An Evaluation on a Synthetic Dataset

SHapley Estimated Explanation (SHEP): A Fast Post-Hoc Attribution Method for Interpreting Intelligent Fault Diagnosis

All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning

GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology

Coarse-to-Fine Learning for Multi-Pipette Localisation in Robot-Assisted In Vivo Patch-Clamp

An Integrated AI-Enabled System Using One Class Twin Cross Learning (OCT-X) for Early Gastric Cancer Detection

ERUPT: Efficient Rendering with Unposed Patch Transformer

FlexiMo: A Flexible Remote Sensing Foundation Model

Blurry-Edges: Photon-Limited Depth Estimation from Defocused Boundaries

Improved Ear Verification with Vision Transformers and Overlapping Patches

Improving the Context Length and Efficiency of Code Retrieval for Tracing Security Vulnerability Fixes

A multi-locus predictiveness curve and its summary assessment for genetic risk prediction

One Look is Enough: A Novel Seamless Patchwise Refinement for Zero-Shot Monocular Depth Estimation Models on High-Resolution Images

Camera Model Identification with SPAIR-Swin and Entropy based Non-Homogeneous Patches

Contrasting Low and High-Resolution Features for HER2 Scoring using Deep Learning

KernelFusion: Assumption-Free Blind Super-Resolution via Patch Diffusion

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