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Visible-infrared image patch matching based on attention mechanism
Image matching has a wide range of applications in computer vision. Existing image matching is mostly used for homologous images. In the matching of...
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Attention-Based Patch Matching and Motion-Driven Point Association for Accurate Point Tracking
Point tracking can be regarded as a transfer and extension of keypoints representation and matching. In contrast to matching the salient points like...
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An efficient texture-structure conserving patch matching algorithm for inpainting mural images
Preserving heritage paintings across the globe has nowadays gained momentum to let know artistic values of our ancestors in terms of their art...
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Patch-wise self-supervised visual representation learning: a fine-grained approach
Self-supervised visual representation learning traditionally focuses on image-level instance discrimination. Our study introduces an innovative,...
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Patch is enough: naturalistic adversarial patch against vision-language pre-training models
Visual language pre-training (VLP) models have demonstrated significant success in various domains, but they remain vulnerable to adversarial...
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Hierarchical loop closure detection with weighted local patch features and global descriptors
Maintaining high-precision localization and ensuring map consistency are crucial objectives for mobile robots. However, loop closure detection...
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Low-complexity arrays of patch signature for efficient ancient coin retrieval
We present a new recognition framework for ancient coins struck from the same die. It is called Low-complexity Arrays of Patch Signatures. To...
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Gmd: Gaussian mixture descriptor for pair matching of 3D fragments
In the automatic reassembly of fragments acquired using laser scanners to reconstruct objects, a crucial step is the matching of fractured surfaces....
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Guided aggregation and disparity refinement for real-time stereo matching
Stereo matching methods based on convolution neural network (CNN) often face challenges such as edge blurring and the loss of small structures. These...
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Deep Patch Visual SLAM
Recent work in Visual Odometry and SLAM has shown the effectiveness of using deep network backbones. Despite excellent accuracy, such approaches are...
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Continual few-shot patch-based learning for anime-style colorization
The automatic colorization of anime line drawings is a challenging problem in production pipelines. Recent advances in deep neural networks have...
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Progressive Keypoint Localization and Refinement in Image Matching
Image matching is the core of many computer vision applications for cultural heritage. The standard image matching pipeline detects keypoints at the...
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Patch-Wise Partial Face Recognition Using Convolutional Neural Network
AbstractAutomatic face recognition still suffers from some problems in the real-world scenarios such as occlusion. Hence, identifying the face from...
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A novel dual-branch Alzheimer’s disease diagnostic model based on distinguishing atrophic patch localization
Magnetic resonance imaging (MRI), a non-ionizing radiation imaging method, is widely utilized in diagnosing Alzheimer’s disease (AD) due to its...
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Matching-to-Detecting: Establishing Dense and Reliable Correspondences Between Images
We present a novel view for local image feature matching, which is inspired by the difference between existing methods. Detector-based methods detect...
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Hard-Normal Example-Aware Template Mutual Matching for Industrial Anomaly Detection
Anomaly detectors are widely used in industrial manufacturing to detect and localize unknown defects in query images. These detectors are trained on...
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Deep Image Matching Based on Siamese Convolutional Neural Networks
AbstractImage matching is at the base of many image processing and computer vision problems, such as object recognition or structure from motion....
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X-Detect: explainable adversarial patch detection for object detectors in retail
Object detection models, which are widely used in various domains (such as retail), have been shown to be vulnerable to adversarial attacks. Existing...
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Patch Based Backdoor Attack on Deep Neural Networks
Deep neural networks (DNNs) have become prevalent and being used across various fields. Meanwhile, their extensive use has been raising some major...
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Fast continuous patch-based artistic style transfer for videos
Convolutional neural network-based image style transfer models often suffer from temporal inconsistency when applied to video. Although several video...
