Papers Image Matching
“Image Matching” 태그가 달린 논문 78편 · 필터 해제
Where Do Vision-Language Models Fail? World Scale Analysis for Image Geolocalization
Image geolocalization has traditionally been addressed through retrieval-based place recognition or geometry-based visual localization pipelines. Recent advances in Vision-Language Models (VLMs) have demonstrated strong …
Multimodal ReasoningVisual LocalizationImage MatchingSceneGlue: Scene-Aware Transformer for Feature Matching without Scene-Level Annotation
Local feature matching plays a critical role in understanding the correspondence between cross-view images. However, traditional methods are constrained by the inherent local nature of feature descriptors, limiting their…
Homography EstimationVisual LocalizationPose EstimationImage MatchingWho Handles Orientation? Investigating Invariance in Feature Matching
Finding matching keypoints between images is a core problem in 3D computer vision. However, modern matchers struggle with large in-plane rotations. A straightforward mitigation is to learn rotation invariance via data au…
Data AugmentationImage MatchingAre Pretrained Image Matchers Good Enough for SAR-Optical Satellite Registration?
Cross-modal optical-SAR (Synthetic Aperture Radar) registration is a bottleneck for disaster-response via remote sensing, yet modern image matchers are developed and benchmarked almost exclusively on natural-image domain…
Domain AdaptationImage MatchingImproving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency
Recent semi-dense image matching methods have achieved remarkable success, but two long-standing issues still impair their performance. At the coarse stage, the over-exclusion issue of their mutual nearest neighbor (MNN)…
Image MatchingMathematical Analysis of Image Matching Techniques
Image matching is a fundamental problem in Computer Vision with direct applications in robotics, remote sensing, and geospatial data analysis. We present an analytical and experimental evaluation of classical local featu…
Homography EstimationKeypoint DetectionImage MatchingEpiMask: Leveraging Epipolar Distance Based Masks in Cross-Attention for Satellite Image Matching
The deep-learning based image matching networks can now handle significantly larger variations in viewpoints and illuminations while providing matched pairs of pixels with sub-pixel precision. These networks have been tr…
Image MatchingCM-Bench: A Comprehensive Cross-Modal Feature Matching Benchmark Bridging Visible and Infrared Images
Infrared-visible (IR-VIS) feature matching plays an essential role in cross-modality visual localization, navigation and perception. Along with the rapid development of deep learning techniques, a number of representativ…
Homography EstimationVisual LocalizationPose EstimationImage MatchingNo Calibration, No Depth, No Problem: Cross-Sensor View Synthesis with 3D Consistency
We present the first study of cross-sensor view synthesis across different modalities. We examine a practical, fundamental, yet widely overlooked problem: getting aligned RGB-X data, where most RGB-X prior work assumes s…
Image MatchingMatching of SAR and optical images based on transformation to shared modality
Significant differences in optical images and Synthetic Aperture Radar (SAR) images are caused by fundamental differences in the physical principles underlying their acquisition by Earth remote sensing platforms. These d…
Image MatchingUnderstanding and Optimizing Attention-Based Sparse Matching for Diverse Local Features
We revisit the problem of training attention-based sparse image matching models for various local features. We first identify one critical design choice that has been previously overlooked, which significantly impacts th…
Image MatchingSOMA-1M: A Large-Scale SAR-Optical Multi-resolution Alignment Dataset for Multi-Task Remote Sensing
Synthetic Aperture Radar (SAR) and optical imagery provide complementary strengths that constitute the critical foundation for transcending single-modality constraints and facilitating cross-modal collaborative processin…
Image MatchingCloud RemovalQuantile Transfer for Reliable Operating Point Selection in Visual Place Recognition
Visual Place Recognition (VPR) is a key component for localization in Global Navigation Satellite System (GNSS)-denied environments, but its performance critically depends on selecting an image matching threshold (operat…
Visual Place RecognitionImage MatchingGaussian-Constrained LeJEPA Representations for Unsupervised Scene Discovery and Pose Consistency
Unsupervised 3D scene reconstruction from unstructured image collections remains a fundamental challenge in computer vision, particularly when images originate from multiple unrelated scenes and contain significant visua…
Self-Supervised LearningCamera Pose EstimationImage MatchingA Streamlined Attention-Based Network for Descriptor Extraction
We introduce SANDesc, a Streamlined Attention-Based Network for Descriptor extraction that aims to improve on existing architectures for keypoint description. Our descriptor network learns to compute descriptors that imp…
Computational EfficiencyImage MatchingSupScene: Scene-Structured Overlap Supervision for Image Retrieval in Unconstrained SfM
Image retrieval is a critical step for reducing the quadratic cost of image matching in unconstrained Structure-from-Motion (SfM). Unlike generic image retrieval, however, the relevant goal of SfM is to identify geometri…
Image RetrievalImage MatchingSecond-order Gaussian directional derivative representations for image high-resolution corner detection
Corner detection is widely used in various computer vision tasks, such as image matching and 3D reconstruction. Our research indicates that there are theoretical flaws in Zhang et al.'s use of a simple corner model to ob…
3D ReconstructionImage MatchingQuantum Visual Word Sense Disambiguation: Unraveling Ambiguities Through Quantum Inference Model
Visual word sense disambiguation focuses on polysemous words, where candidate images can be easily confused. Traditional methods use classical probability to calculate the likelihood of an image matching each gloss of th…
Word Sense DisambiguationQuantum Machine LearningImage MatchingVisRes Bench: On Evaluating the Visual Reasoning Capabilities of VLMs
Vision-Language Models (VLMs) have achieved remarkable progress across tasks such as visual question answering and image captioning. Yet, the extent to which these models perform visual reasoning as opposed to relying on…
Visual Question AnsweringImage CaptioningVisual ReasoningImage MatchingThe Perceptual Observatory Characterizing Robustness and Grounding in MLLMs
Recent advances in multimodal large language models (MLLMs) have yielded increasingly powerful models, yet their perceptual capacities remain poorly characterized. In practice, most model families scale language componen…
Visual GroundingImage Matching