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Guided Aggregation
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BiSeNet V2: Bilateral Network with Guided Aggregation for
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Guided-attention and gated-aggregation network for …
We propose GA2Net to capture complex shapes of the tissues for better segmentation. Our HGFA enhances the most relevant feature information for pixel-precise …
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[2211.14651] SliceMatch: Geometry-guided Aggregation for …
To address the observed gaps, we devise a novel, accurate, and efficient method for cross-view camera pose estimation called SliceMatch (see Figure 1).Its novel aerial feature aggregation …
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Knowledge graph representation learning with relation-guided
The relation-guided aggregation module aims to capture rich attributes of entities, which generates the sub-structures according to relation types, and aggregates semantic …
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FedQL: Q-Learning Guided Aggregation for Federated …
FedQL: Q-Learning Guided Aggregation for Federated Learning 265 can learn to set weight according to certain system state. The main contributions of this paper are as follows. – We …
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SG-MIAN: Self-guided multiple information aggregation …
We propose a novel Self-Guided Multiple Information Aggregation Network (SG-MIAN) based solely on image-level labels for weakly supervised segmentation of skin cancer …
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Quantifier guided aggregation using OWA operators
We consider multicriteria aggregation problems where, rather than requiring all the criteria be satisfied, we need only satisfy some portion of the criteria. ... Quantifier guided aggregation …
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Knowledge graph representation learning with relation-guided
The relation-guided aggregation module separates the neighbors into multiple sub-structures, and then aggregates information from them according to different relation types. …
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arXiv:2403.10362v2 [eess.IV] 20 Nov 2024
ing priors-guided aggregation network, named CPGA. The CPGA consists of three modules: the inter-frame temporal aggregation (ITA) module, the multi-scale non-local aggre-gation (MNA) …
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OWA Operators in Decision Making
In 1988 Ronald R. Yager [14] introduced a new aggregation technique based on the ordered weighted averaging (OWA) operators. The goal of this paper is to present a short survey of of OWA operators ...
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GA-Net: Guided Aggregation Net for End-To-End Stereo …
Abstract: In the stereo matching task, matching cost aggregation is crucial in both traditional methods and deep neural network models in order to accurately estimate disparities. We …
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[CVPR2024] Dataset and Code of "CPGA: Coding Priors-Guided Aggregation …
The dataset and code of the paper "CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement". Requirements CUDA==11.6 Python==3.7 …
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DGMA2-Net: A Difference-Guided Multiscale Aggregation …
To address the above problems, a difference-guided multiscale aggregation attention network, DGMA2-Net, is developed. Bitemporal features at different levels are extracted through a …
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FedSim: Similarity guided model aggregation for Federated Learning
The similarity-guided FedSim algorithm, introduced in this paper, decomposes FL aggregation into local and global steps. Clients with similar gradients are clustered to provide …
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Difference-Guided Aggregation Network With Multiimage …
Aiming at this problem, a difference-guided aggregation network (DGANet) is proposed, where two key modules are injected, i.e., a difference-guided aggregation module (DGAM) and a …
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Attention-guided chained context aggregation for
Attention-guided chained context aggregation for semantic segmentation ... The serial GF and CFs (i.e. several Context Flows) guided by Chained Connections contain …
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Quantifier Guided Aggregation Using OWA …
QUANTIFIER GUIDED AGGREGATION 63 In the calculation of the weights we make considerable use of summations of the form uk we shall find it convenient to note these as Sj, thus j sj= k=2I u k * Using this notation we get wj = Q ($)- (9) …
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SliceMatch: Geometry-guided Aggregation for Cross-View …
This work addresses cross-view camera pose estimation, i.e., determining the 3-Degrees-of-Freedom camera pose of a given ground-level image w.r.t. an aerial image of the …
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Fed-GFM-DG: A privacy-preserving framework for fundus …
The aggregation time for both FedAvg [18] and FedTMask is then measured, as shown in Table 10. Despite FedTMask taking slightly longer due to the increased algorithmic complexity, the …
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Deep self-guided cost aggregation for stereo matching
In this paper, we present a deep self-guided cost aggregation method used to obtain an accurate disparity map from a pair of stereo images. Conventional cost aggregation …
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Guided aggregation and disparity refinement for real-time …
Therefore, the adaptive scale dilated convolution patch aggregation is used to expand the search range for aggregation. Guided patch cost aggregation is more likely to …
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Mitigating Trade-off: Stream and Query-guided Aggregation …
StreamOcc consists of two key components: (i) Stream-based Voxel Aggregation, which effectively accumulates past observations while minimizing computational costs, and (ii) …
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Depth-Guided Aggregation for Real-Time Binocular Depth …
We propose an efficient and flexible cost aggregation module that supplements residual information with high-resolution cost volumes. By replacing some computationally …
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Guided-attention and gated-aggregation network for …
The focus of our design is the introduction of a hierarchical gated feature aggregation (HGFA) module in the bottleneck, adaptive aggregation (AA), and mask-guided …
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GitHub
GA-Net：Guided Aggregation Net for End-to-end Stereo Matching(CVPR2019) 9.GSM：Guided Stereo Matching(cvpr2019) 10.GwcNet：Group-wise Correlation Stereo Network(cvpr2019) 11.HD3Stereo:Hierarchical Discrete Distribution …
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Edge-guided and hierarchical aggregation network for …
The Edge-guided and Hierarchical Aggregation Network (EHANet) is introduced for robust medical image segmentation. It combines multi-level and multi-scale features to …
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GA-Net: Guided Aggregation Net for End-to-end Stereo …
In the stereo matching task, matching cost aggregation is crucial in both traditional methods and deep neural network models in order to accurately estimate disparities. We …
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CPGA: Coding Priors-Guided Aggregation Network for …
ing priors-guided aggregation network, named CPGA. The CPGA consists of three modules: the inter-frame temporal aggregation (ITA) module, the multi-scale non-local aggre-gation (MNA) …
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[2403.10362] CPGA: Coding Priors-Guided Aggregation …
To remedy this problem, we propose the Coding Priors-Guided Aggregation (CPGA) network to utilize temporal and spatial information from coding priors. The CPGA …
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Mitigating Trade-off: Stream and Query-guided Aggregation …
Abstract page for arXiv paper 2503.22087: Mitigating Trade-off: Stream and Query-guided Aggregation for Efficient and Effective 3D Occupancy Prediction 3D occupancy …
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BiSeNet V2: Bilateral Network with Guided Aggregation for …
We design a guided aggregation layer to enhance mutual connections and fuse both types of feature representation. Moreover, a booster training strategy is designed to …
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CVPR 2023 Open Access Repository
SliceMatch: Geometry-Guided Aggregation for Cross-View Pose Estimation Ted Lentsch, Zimin Xia, Holger Caesar, Julian F. P. Kooij; Proceedings of the IEEE/CVF Conference on Computer …
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BiSeNet V2 Explained
BiSeNet V2 is a two-pathway architecture for real-time semantic segmentation. One pathway is designed to capture the spatial details with wide channels and shallow layers, called Detail Branch. In contrast, the other pathway is …
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R. R. Yager, "Quantifier Guided Aggregation Using OWA …
Article citations More>>. R. R. Yager, "Quantifier Guided Aggregation Using OWA Operators," International Journal of Intelligent Systems, Vo. 11, No. 1, 1996, pp ...
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FedQL: Q-Learning Guided Aggregation for Federated …
Figure 2 shows the framework of FedQL. It involves a Q-learning framework to generate weights used for aggregation. In a standard Q-learning system, after the agent …
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BiSeNet V2: Bilateral Network with Guided Aggregation …
InternationalJournalofComputerVision(2021)129:3051–3068 3053 ture, and encode many diverse patterns, thus requiring wide channel dimension. High-level semantics ...
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arXiv:1904.06587v1 [cs.CV] 13 Apr 2019
3. Guided Aggregation Net In this section, we describe our proposed guided aggre-gation network (GA-Net), including the guided aggregation (GA) layers and the improved network architecture. …
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