An Improved ASIFT Image Feature Matching Algorithm Based on POS Information [PDF]
Sensors, 2022 The affine scale-invariant feature transform (ASIFT) algorithm is a feature extraction algorithm with affinity and scale invariance, which is suitable for image feature matching using unmanned aerial vehicles (UAVs).
Junchai Gao, Zhen Sun
doaj +2 more sources
Multi-turn Inference Matching Network for Natural Language Inference [PDF]
, 2019 Natural Language Inference (NLI) is a fundamental and challenging task in Natural Language Processing (NLP). Most existing methods only apply one-pass inference process on a mixed matching feature, which is a concatenation of different matching features ...
Jiang, Shan +3 more
core +2 more sources
Swin-transformer for weak feature matching [PDF]
Scientific ReportsFeature matching in computer vision is crucial but challenging in weakly textured scenes due to the lack of pattern repetition. We introduce the SwinMatcher feature matching method, aimed at addressing the issues of low matching quantity and poor ...
Yuan Guo, Wenpeng Li, Ping Zhai
doaj +2 more sources
UFM: Unified feature matching pre-training with multi-modal image assistants. [PDF]
PLoS ONEImage feature matching, a foundational task in computer vision, remains challenging for multimodal image applications, often necessitating intricate training on specific datasets.
Yide Di +6 more
doaj +2 more sources
A Fast Dense Feature-Matching Model for Cross-Track Pushbroom Satellite Imagery [PDF]
Sensors, 2018 Feature-based matching can provide high robust correspondences and it is usually invariant to image scale and rotation. Nevertheless, in remote sensing, the robust feature-matching algorithms often require costly computations for matching dense features ...
Wen-Liang Du +3 more
doaj +2 more sources
Real-time and high precision feature matching between blur aerial images. [PDF]
PLoS ONE, 2022 When aerial cameras get aerial remote sensing images, the defocus will occur because of reasons such as air pressure, temperature and ground elevation changes, resulting in different image sharpness of continual aerial remote sensing images.
Dongchen Dai +6 more
doaj +2 more sources
Ultra-low-dose PET reconstruction using generative adversarial network with feature matching and task-specific perceptual loss. [PDF]
Med Phys, 2019 PURPOSE Our goal was to use a generative adversarial network (GAN) with feature matching and task-specific perceptual loss to synthesize standard-dose amyloid Positron emission tomography (PET) images of high quality and including accurate pathological ...
J. Ouyang +4 more
semanticscholar +2 more sources
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching [PDF]
International Conference on Learning Representations, 2023 Powered by large-scale pre-training, vision foundation models exhibit significant potential in open-world image understanding. However, unlike large language models that excel at directly tackling various language tasks, vision foundation models require ...
Yang Liu +5 more
semanticscholar +1 more source
MatchFormer: Interleaving Attention in Transformers for Feature Matching [PDF]
Asian Conference on Computer Vision, 2022 Local feature matching is a computationally intensive task at the subpixel level. While detector-based methods coupled with feature descriptors struggle in low-texture scenes, CNN-based methods with a sequential extract-to-match pipeline, fail to make ...
Qing Wang +4 more
semanticscholar +1 more source
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching [PDF]
Computer Vision and Pattern Recognition, 2023 Local feature matching aims at finding correspondences between a pair of images. Although current detector-free methods leverage Transformer architecture to obtain an impressive performance, few works consider maintaining local consistency.
Jiahuan Yu +4 more
semanticscholar +1 more source