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guided guided aggregation Search

[1904.06587] GA-Net: Guided Aggregation Net for End-to-end ...

Apr 13, 2019  In the experiments, we show that nets with a two-layer guided aggregation block easily outperform the state-of-the-art GC-Net which has nineteen 3D convolutional layers. We also train a deep guided aggregation network (GA-Net) which gets better accuracies than state-of-the-art methods on both Scene Flow dataset and KITTI benchmarks.

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Flow-Guided Feature Aggregation for Video Object Detection

aggregation may even deteriorate the performance, as elab-orated in Table 1 (b) later. This suggests that it is critical to model the motion during learning. In this work, we propose flow-guided feature aggrega-tion (FGFA). As illustrated in Figure 1, the feature extrac-tion network is applied on individual frames to produce the per-frame ...

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GA-Net: Guided Aggregation Net for End-to-end Stereo ...

CVPR 2019 oral presentation.

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Flow-Guided-Feature-Aggregation: Flow-Guided Feature ...

Flow-Guided Feature Aggregation for Video Object Detection This repository is implemented by Yuqing Zhu, Shuhao Fu, and Xizhou Zhu, when they are interns at MSRA. Introduction Flow-Guided Feature Aggregation (FGFA) is initially described in an ICCV 2017 paper. It provides an accurate and end-to-end learning framework for video object detection.

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Weighted aggregation for guided image filtering SpringerLink

高达12%返现  Oct 11, 2019  Before the weighted aggregation strategy is proposed, the GIF, WGIF and GDGIF techniques are briefly reviewed. Guided image filtering. The principle of the GIF is that the input image I is filtered with a given guidance image G.It is assumed that the filtering output \(\hat{I}\) is a linear transform of the guidance image G in a small patch \(w_k\), and the filtered output \((\hat{I}_k(p ...

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Flow-Guided Feature Aggregation for Video Object Detection ...

Mar 29, 2017  About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy Safety How YouTube works Test new features Press Copyright Contact us Creators ...

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立体匹配论文笔记(五):GA-Net - 知乎 - Zhihu

May 17, 2019  题目中guided在这里是指用RGB指导一些任务,如我们的视差估计,深度补全任务也有谈到。Aggregation就是代价聚合,之前还专门发了个问题想探讨一下如何理解代价聚合这一步,看了这篇论文稍微有了深一点的认识。

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Aggregation‐Induced Emission (AIE) Nanoparticles‐Assisted ...

Jul 28, 2021  Aggregation-Induced Emission (AIE) Nanoparticles-Assisted NIR-II Fluorescence Imaging-Guided Diagnosis and Surgery for Inflammatory Bowel Disease (IBD) Xiaoxiao Fan, Department of General Surgery, Sir Run Run Shaw Hospital, School of

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GA-Net: Guided Aggregation Net for End-To-End Stereo ...

Jun 20, 2019  In the experiments, we show that nets with a two-layer guided aggregation block easily outperform the state-of-the-art GC-Net which has nineteen 3D convolutional layers. We also train a deep guided aggregation network (GA-Net) which gets better accuracies than state-of-the-art methods on both Scene Flow dataset and KITTI benchmarks.

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Boundary Guided Context Aggregation for Semantic Segmentation

Based on which, a Boundary guided Context Aggregation module (BCA) improved from Non-local network is further proposed to capture long-range dependencies

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CGA-Net: Category Guided Aggregation for Point Cloud ...

pose the category-guided aggregation (CGA for short), to handle the imbalance inside this backbones. Our method is independent of these backbones, can be plug-in any point cloud semantic segmentation neural network in theory. We find the knearest neighbors of each point, and iden-tify whether those neighbors have the same label with the center ...

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BiSeNet V2: Bilateral Network with Guided Aggregation for ...

Apr 05, 2020  Furthermore, we design a Guided Aggregation Layer to enhance mutual connections and fuse both types of feature representation. Besides, a booster training strategy is designed to improve the segmentation performance without any extra inference cost. Extensive quantitative and qualitative evaluations demonstrate that the proposed architecture ...

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Attention-guided aggregation stereo matching network ...

Feb 01, 2021  An attention-guided aggregation stereo matching network is proposed. • The residual network based on the 2D channel attention block is proposed. • The 3D stacked hourglass structure based on the 3D channel attention block is proposed. • The 4D guided cost volume is designed.

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Flow-Guided Feature Aggregation for Video Object

Flow-Guided Feature Aggregation for Video Object Detection Xizhou Zhu1,2∗ Yujie Wang2∗ Jifeng Dai2 Lu Yuan2 Yichen Wei2 1University of Science and Technology of China 2Microsoft Research [email protected] {v-yujiwa,jifdai,luyuan,yichenw}@microsoft

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GitHub - feihuzhang/GANet: GA-Net: Guided Aggregation Net ...

Apr 15, 2020  @inproceedings{Zhang2019GANet, title={GA-Net: Guided Aggregation Net for End-to-end Stereo Matching}, author={Zhang, Feihu and Prisacariu, Victor and Yang, Ruigang and Torr, Philip HS}, booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition}, pages={185--194}, year={2019} }

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Oracle Commerce Guided Search - Aggregation/GROUP BY

The most basic type of statement provided by the Endeca Analytics API is the aggregation operation with GROUP BY, which buckets a set of Endeca records into a resulting set of aggregated Oracle Commerce Guide Search records. In most Analytics applications, all Analytics statements are aggregation operations.

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Aggregation‐Induced Emission (AIE) Nanoparticles‐Assisted ...

Jul 28, 2021  Aggregation-Induced Emission (AIE) Nanoparticles-Assisted NIR-II Fluorescence Imaging-Guided Diagnosis and Surgery for Inflammatory Bowel Disease (IBD) Xiaoxiao Fan, Department of General Surgery, Sir Run Run Shaw Hospital, School of

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Flow-Guided Feature Aggregation for Video Object Detection ...

Flow-Guided Feature Aggregation for Video Object Detection. Authors: Xizhou Zhu , Yujie Wang , Jifeng Dai , Lu Yuan , Yichen Wei. 摘要:目标检测从图片到视频的检测过程是一个挑战,检测的准确率受到视频中目标外观退化的影响,例如运动模糊,视频聚焦,罕见的姿势。

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GitHub - mahaoxiang822/Boundary-Guided-Context-Aggregation ...

Oct 19, 2021  Boundary-Guided-Context-Aggregation. Code for BMVC2021 paper "Boundary Guided Context Aggregation for Semantic Segmentation"

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Attention-guided aggregation stereo matching network ...

An attention-guided aggregation stereo matching network is proposed. •. The residual network based on the 2D channel attention block is proposed. •. The 3D stacked hourglass structure based on the 3D channel attention block is proposed. •. The 4D guided cost volume is designed.

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Weighted aggregation for guided image filtering Request PDF

Request PDF Weighted aggregation for guided image filtering As a local filter, the guided image filtering (GIF) suffers from halo artifacts. To address this issue, a novel weighted aggregating ...

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BiSeNet V2: Bilateral Network with Guided Aggregation for ...

Apr 05, 2020  Furthermore, we design a Guided Aggregation Layer to enhance mutual connections and fuse both types of feature representation. Besides, a booster training strategy is designed to improve the segmentation performance without any extra inference cost. Extensive quantitative and qualitative evaluations demonstrate that the proposed architecture ...

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Quantifier guided aggregation using OWA operators - Yager ...

Quantifier guided aggregation using OWA operators. Ronald R. Yager, Corresponding Author. Machine Intelligence Institute; Iona College, New Rochelle, New York 10801. ... We consider multicriteria aggregation problems where, rather than requiring all the

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CGA-Net: Category Guided Aggregation for Point Cloud ...

pose the category-guided aggregation (CGA for short), to handle the imbalance inside this backbones. Our method is independent of these backbones, can be plug-in any point cloud semantic segmentation neural network in theory. We find the knearest neighbors of each point, and iden-tify whether those neighbors have the same label with the center ...

Read More
GA-Net: Guided Aggregation Net for End-to-end Stereo

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. 3.1. Guided Aggregation Layers State-of-the-art end-to-end stereo matching neural nets such as [3,13] build a 4D matching cost volume (with size of H W D

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Boundary Guided Context Aggregation for Semantic Segmentation

Based on which, a Boundary guided Context Aggregation module (BCA) improved from Non-local network is further proposed to capture long-range dependencies

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BiSeNet V2: Bilateral Network with Guided Aggregation for ...

Apr 05, 2020  Furthermore, we design a Guided Aggregation Layer to enhance mutual connections and fuse both types of feature representation. Besides, a booster training strategy is designed to improve the segmentation performance without any extra inference cost. Extensive quantitative and qualitative evaluations demonstrate that the proposed architecture ...

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GitHub - feihuzhang/GANet: GA-Net: Guided Aggregation Net ...

Apr 15, 2020  @inproceedings{Zhang2019GANet, title={GA-Net: Guided Aggregation Net for End-to-end Stereo Matching}, author={Zhang, Feihu and Prisacariu, Victor and Yang, Ruigang and Torr, Philip HS}, booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition}, pages={185--194}, year={2019} }

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Aggregation‐Induced Emission (AIE) Nanoparticles‐Assisted ...

Jul 28, 2021  Aggregation-Induced Emission (AIE) Nanoparticles-Assisted NIR-II Fluorescence Imaging-Guided Diagnosis and Surgery for Inflammatory Bowel Disease (IBD) Xiaoxiao Fan, Department of General Surgery, Sir Run Run Shaw Hospital, School of

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Flow Guided Feature Aggregation视频目标检测精读 - 知乎

Jan 16, 2019  Flow Guided Feature Aggregation视频目标检测精读. 对单帧图片检测效果不错的算法应用在视频上会遇到几个挑战:1. motion blur 2. video defocus 3 rare poses. 作者把传统的单帧目标检测和temporal information结合起来的方法叫做box level method:结合现成的motion estimation比如光流或者 ...

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Flow-Guided Feature Aggregation for Video Object Detection ...

Aug 03, 2018  Flow-Guided Feature Aggregation for Video Object Detection 研究背景. 为比赛准备,视频目标检测算法. 研究参考. github代码 mxnet

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Fine-Grained Recognition via Attribute-Guided Attentive ...

Towards this end, we propose a novel local feature discovery, discriminative alignment and aggregation framework, inspired by the recent success of deep recurrent attention model. First, we develop a novel attribute-guided attentive network to sequentially discover informative parts/regions, by seeking a good registration between attentive ...

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Flow-Guided Feature Aggregation for Video Object Detection ...

We present flow-guided feature aggregation, an accurate and end-to-end learning framework for video object detection. It leverages temporal coherence on feature level instead. It improves the per-frame features by aggregation of nearby features along the motion paths, and thus improves the video recognition accuracy.

Read More
BiSeNet V2: Bilateral Network with Guided Aggregation for ...

Apr 05, 2020  Furthermore, we design a Guided Aggregation Layer to enhance mutual connections and fuse both types of feature representation. Besides, a booster training strategy is designed to improve the segmentation performance without any extra inference cost. Extensive quantitative and qualitative evaluations demonstrate that the proposed architecture ...

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Flow-Guided Feature Aggregation for Video Object Detection ...

Flow-Guided Feature Aggregation for Video Object Detection. 来自MSRA视觉计算组,发表在ICCV2017上,提出了一个通过特征聚合来增强特征的方法。. motivation. 视频中的退化现象很严重. 通过聚合多帧的特征来对每一帧特征进行增强. 用光流传播特征. 视频目标检测中,存在图像 ...

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[1703.10025] Flow-Guided Feature Aggregation for Video ...

Mar 29, 2017  We present flow-guided feature aggregation, an accurate and end-to-end learning framework for video object detection. It leverages temporal coherence on feature level instead. It improves the per-frame features by aggregation of nearby features along the motion paths, and thus improves the video recognition accuracy.

Read More