Novel up-scale feature aggregation for object detection in aerial images
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.011
Abstract: Abstract Object detection is a pivotal task for many unmanned aerial vehicle (UAV) applications. Compared to general scenes, the objects in aerial images are typically much smaller. For this reason, most general object detectors suffer… read more here.
Keywords: object detection; detection; feature; aerial images ... See more keywords
Rethinking feature aggregation for deep RGB-D salient object detection
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.10.079
Abstract: Abstract Two-stream UNet based architectures are widely used in deep RGB-D salient object detection (SOD) models. However, UNet only adopts a top-down decoder network to progressively aggregate high-level features with low-level ones. In this paper,… read more here.
Keywords: rgb salient; aggregation; level; feature aggregation ... See more keywords
DSFA-PINN: Deep Spectral Feature Aggregation Physics Informed Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3153056
Abstract: Solving parametric partial differential equations using artificial intelligence is taking the pace. It is primarily because conventional numerical solvers are computationally expensive and require significant time to converge a solution. However, physics informed deep learning… read more here.
Keywords: neural network; spectral feature; physics; physics informed ... See more keywords
Anchor-Free Feature Aggregation Network for Instrument Detection in Endoscopic Surgery
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3250400
Abstract: Endoscopic endonasal approach has been widely used for removing various sellae tumors including pituitary adenomas, meningiomas, etc. While, performing these surgeries in such a narrow space with different instruments remains a challenge for surgeons, due… read more here.
Keywords: network; anchor free; feature; detection ... See more keywords
Multiview Feature Aggregation for Facade Parsing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3035721
Abstract: Facade image parsing is essential to the semantic understanding and 3-D reconstruction of urban scenes. Considering the occlusion and appearance ambiguity in single-view images and the easy acquisition of multiple views, in this letter, we… read more here.
Keywords: facade parsing; aggregation; view; multiview ... See more keywords
Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3191040
Abstract: LiDAR sensor is essential to the perception system in autonomous vehicles and intelligent robots. To fulfill the real-time requirements in real-world applications, it is necessary to efficiently segment the LiDAR scans. Most of previous approaches… read more here.
Keywords: range; segmentation; meta rangeseg; feature aggregation ... See more keywords
Feature Aggregation Networks Based on Dual Attention Capsules for Visual Object Tracking
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3063001
Abstract: Tracking-by-detection algorithms have considerably enhanced tracking performance with the introduction of recent convolutional neural networks (CNNs). However, most trackers directly exploit standard scalar-output CNN features, which may not capture enough feature encoding information, instead of… read more here.
Keywords: attention; feature; cnn features; feature aggregation ... See more keywords
Dual-Attention-Based Feature Aggregation Network for Infrared and Visible Image Fusion
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3259021
Abstract: Infrared and visible image fusion aims to produce fused images which retain rich texture details and high pixel intensity in the source images. In this article, we propose a dual-attention-based feature aggregation network for infrared… read more here.
Keywords: fusion; based feature; attention based; attention ... See more keywords
Feature Aggregation and Propagation Network for Camouflaged Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3217695
Abstract: Camouflaged object detection (COD) aims to detect/segment camouflaged objects embedded in the environment, which has attracted increasing attention over the past decades. Although several COD methods have been developed, they still suffer from unsatisfactory performance… read more here.
Keywords: feature; object detection; camouflaged object; feature aggregation ... See more keywords
Heterogeneous Hierarchical Feature Aggregation Network for Personalized Micro-Video Recommendation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3059508
Abstract: Micro-video recommendation has attracted extensive research attention with the increasing popularity of micro-video sharing platforms. Traditional approaches consider micro-video recommendation as a matching task and ignore the rich relationships among users and micro-videos from various… read more here.
Keywords: feature aggregation; video; micro video; video recommendation ... See more keywords
A Graph-Related High-Order Neural Network Architecture via Feature Aggregation Enhancement for Identification Application of Diseases and Pests
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4391491
Abstract: Diseases and pests are essential threat factors that affect agricultural production, food security supply, and ecological plant diversity. However, the accurate recognition of various diseases and pests is still challenging for existing advanced information and… read more here.
Keywords: aggregation enhancement; high order; diseases pests; fine grained ... See more keywords