Learning region-guided scale-aware feature selection for object detection
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05400-w
Abstract: Scale variation is one of the major challenges in object detection task. Modern region-based object detection architectures often adopt Feature Pyramid Network (FPN) as feature extraction neck to achieve multi-scale feature representation in solving scale… read more here.
Keywords: object detection; feature selection; feature; scale aware ... See more keywords
Scale-aware spatial pyramid pooling with both encoder-mask and scale-attention for semantic segmentation
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.11.042
Abstract: Abstract This paper focuses on semantic segmentation of scenes by capturing the appropriate scale, rich detail and contextual dependencies in a feature representation. Semantic segmentation is a pixel-level classification task and has made steady progress… read more here.
Keywords: aware spatial; scale aware; spatial pyramid; semantic segmentation ... See more keywords
TSingNet: Scale-aware and context-rich feature learning for traffic sign detection and recognition in the wild
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.03.049
Abstract: Abstract Traffic sign detection and recognition in the wild is a challenging task. Existing techniques are often incapable of detecting small or occluded traffic signs because of the scale variation and context loss, which causes… read more here.
Keywords: scale aware; traffic; sign detection; traffic sign ... See more keywords
Scale-aware stereo direct visual odometry with online photometric calibration for agricultural environment
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Robotics"
DOI: 10.1080/01691864.2022.2142069
Abstract: Vision-based localization and mapping for agricultural environment is challenging due to unstructured scene with less distinguishable landmarks and more repetitive textures, scale drift caused by wide and distant view, illumination variations and abrupt movements. To… read more here.
Keywords: online photometric; photometric calibration; scale aware; stereo direct ... See more keywords
DHNet: Salient Object Detection With Dynamic Scale-Aware Learning and Hard-Sample Refinement
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3183641
Abstract: During the annotation procedure of salient object detection, researchers usually locate the approximate location of the salient objects first and then process the pixels that need to be finely annotated. Following this idea, we find… read more here.
Keywords: hard sample; scale aware; salient object; dynamic scale ... See more keywords
Multiregion Scale-Aware Network for Building Extraction From High-Resolution Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3192614
Abstract: Building extraction is an essential task due to its relevance to urban planning and automatic surveying mapping activities. Despite the existing convolutional neural network-based methods that have achieved remarkable progress on building extraction from remote… read more here.
Keywords: multiregion; network; remote sensing; scale aware ... See more keywords
NSSNet: Scale-Aware Object Counting With Non-Scale Suppression
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3030781
Abstract: In object counting, objects often exhibit different sizes at different scales, even if they have similar physical sizes in reality. This is particularly true when targeting crowd counting and vehicle counting in intelligent transportation. Failing… read more here.
Keywords: scale aware; scale; object counting; nssnet ... See more keywords
Scale-Aware Edge-Preserving Image Filtering via Iterative Global Optimization
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2017.2772438
Abstract: Presently, few filters are able to smooth images in a scale-aware manner like Gaussian filtering while not blurring the edges of large-scale features, whereas this kind of filter can be important in many visual applications… read more here.
Keywords: edge preserving; scale aware; global optimization; aware edge ... See more keywords
Scale-Aware Automatic Augmentations for Object Detection With Dynamic Training
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3166905
Abstract: Data augmentation is a critical technique in object detection, especially the augmentations targeting at scale invariance training (scale-aware augmentation). However, there has been little systematic investigation of how to design scale-aware data augmentation for object… read more here.
Keywords: object detection; search; scale aware; augmentation ... See more keywords
Sensitivity of Tropical Cyclone Idai Simulations to Cumulus Parametrization Schemes
Sign Up to like & getrecommendations! Published in 2021 at "Atmosphere"
DOI: 10.3390/atmos12080932
Abstract: Weather simulations are sensitive to subgrid processes that are parameterized in numerical weather prediction (NWP) models. In this study, we investigated the response of tropical cyclone Idai simulations to different cumulus parameterization schemes using the… read more here.
Keywords: scale aware; idai simulations; model; cyclone idai ... See more keywords