Learning local descriptors with multi-level feature aggregation and spatial context pyramid
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.07.030
Abstract: Abstract Despite that efforts have shifted to learning local descriptors with convolutional neural network (CNN) from hand-crafted realm, the inherent feature hierarchy within CNN has been rarely explored. To increase both the invariant and discriminative… read more here.
Keywords: local descriptors; feature; learning local; level feature ... See more keywords
Distorted learning from local metacognition supports transdiagnostic underconfidence
Sign Up to like & getrecommendations! Published in 2025 at "Nature Communications"
DOI: 10.1038/s41467-025-57040-0
Abstract: Individuals experiencing symptoms of anxiety and depression have been shown to exhibit persistent underconfidence. The origin of such metacognitive biases presents a puzzle, given that individuals should be able to learn appropriate levels of confidence… read more here.
Keywords: global confidence; local confidence; confidence; learning local ... See more keywords
Learning Local and Global Priors for JPEG Image Artifacts Removal
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DOI: 10.1109/lsp.2020.3039932
Abstract: Lossy compression will inevitably introduce image artifacts in the decoded image and degrade the image quality. In recent years, convolutional neural network (CNN) has been exploited for removing compression artifacts with great success. However, most… read more here.
Keywords: global prior; image artifacts; local global; learning local ... See more keywords
DomainFeat: Learning Local Features With Domain Adaptation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2023.3282956
Abstract: Accurate and efficient keypoint detection and description is a fundamental step in various computer vision tasks. In this paper, we extract robust descriptors and detect accurate keypoints by learning local Features with Domain adaptation (DomainFeat).… read more here.
Keywords: level; local features; domainfeat; learning local ... See more keywords
Deep Spike Learning With Local Classifiers
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2022.3188015
Abstract: Backpropagation has been successfully generalized to optimize deep spiking neural networks (SNNs), where, nevertheless, gradients need to be propagated back through all layers, resulting in a massive consumption of computing resources and an obstacle to… read more here.
Keywords: learning local; spike learning; deep spike; local learning ... See more keywords
SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3251029
Abstract: The goal of dynamic scene deblurring is to remove the motion blur presented in a given image. To recover the details from the severe blurs, conventional convolutional neural networks (CNNs) based methods typically increase the… read more here.
Keywords: information; image deblurring; learning local; local feature ... See more keywords
Learning Local Metrics and Influential Regions for Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2914899
Abstract: The performance of distance-based classifiers heavily depends on the underlying distance metric, so it is valuable to learn a suitable metric from the data. To address the problem of multimodality, it is desirable to learn… read more here.
Keywords: metrics influential; distance; local metrics; influential regions ... See more keywords