S S R & CO.
S S R & Co. is an accounting firm that provides audit, corporate finance, and payroll services.
S S R & CO.
Social Links:
Industry:
Accounting Consulting Finance
Founded:
2004-01-01
Address:
Hissar, Haryana, India
Country:
India
Website Url:
http://www.ssr.net.in
Total Employee:
11+
Status:
Active
Contact:
+91 11 35001596
Email Addresses:
[email protected]
Technology used in webpage:
GStatic Google Static Content ASP.NET MVC Netmagic Solutions ESDS
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Official Site Inspections
http://www.ssr.net.in
- Host name: 115.124.126.242
- IP address: 115.124.126.242
- Location: India
- Latitude: 20.0063
- Longitude: 77.006
- Timezone: Asia/Kolkata
More informations about "S S R & Co."
SSR-NET: Spatial–Spectral Reconstruction Network for ... - IEEE …
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SSRNet: Scalable 3D Surface Reconstruction Network
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SSRNet: A Lightweight Successive Spatial Rectified Network With ...
Deep learning methods have been proved outperforming the traditional methods in the field of hyperspectral image classification (HSIC). However, in pursuit of higher accuracy, HSIC …See details»
SSRNET for hyperspectral and multispectral image fusion.
SSRNET for hyperspectral and multispectral image fusion. This is the code of X. Zhang, W. Huang, Q. Wang, and X. Li, “SSR-NET: Spatial-Spectral Reconstruction Network for …See details»
[1911.07401] SSRNet: Scalable 3D Surface Reconstruction Network …
Nov 18, 2019 Existing learning-based surface reconstruction methods from point clouds are still facing challenges in terms of scalability and preservation of details on large-scale point clouds. …See details»
CVPR 2020 Open Access Repository
Finally, the time consumption with SSRNet on a large-scale point cloud is acceptable and competitive. To our knowledge, the proposed SSRNet is the first to really bring a convincing …See details»
[2001.04609] Spatial-Spectral Residual Network for Hyperspectral …
Jan 14, 2020 Deep learning-based hyperspectral image super-resolution (SR) methods have achieved great success recently. However, most existing models can not effectively explore …See details»
SSRNet: Scalable 3D Surface Reconstruction Network - Computer
The proposed SSRNet constructs local geometry-aware features for octree vertices and designs a scalable reconstruction pipeline, which not only greatly enhances the predication accuracy of …See details»
Spatial-Spectral Residual Network for Hyperspectral Image Super …
Demonstrate that the performance of SSRNet is superior to the state-of-the-art hyperspectral image SR approaches based on deep learning on three datasets. Besides, our proposed …See details»
Spectral domain strategies for hyperspectral super-resolution: …
Nov 1, 2024 It can be found that ResTFNET exceeds SSRNET in the three indicators except RMSE while using the transfer learning strategy. It also indirectly shows that the superiority of …See details»
SSRNet: Scalable 3D Surface Reconstruction Network
Jun 19, 2020 Abstract: Existing learning-based surface reconstruction methods from point clouds are still facing challenges in terms of scalability and preservation of details on large-scale point …See details»
ssr-net · GitHub Topics · GitHub
Nov 21, 2019 Pytorch's version implementation of SSRNet for age and gender Estimation. pytorch ssr-net Updated Sep 2, 2020; Python; Improve this page Add a description, image, …See details»
SSRNet 三维重建 - 知乎 - 知乎专栏
（7）切面卷积的应用是如何帮助获得了geometry-aware vertex feature? 其实切面卷积里的符号投影距离和位置投影有效的解释了geometry-aware vertex feature。. 这里需要知道何为切面卷积 …See details»
[PDF] Spatial-Spectral Residual Network for ... - Semantic Scholar
Jan 14, 2020 This paper proposes a novel spectral-spatial residual network for hyperspectral image super-resolution (SSRNet), which can effectively explore spatial-spectral information by …See details»
GitHub - shamangary/SSR-Net: [IJCAI18] SSR-Net: A Compact Soft ...
Sep 19, 2019 If you only want a single hyper-parameter set, please alter the command inside "run_ssrnet.sh". Plot the results: For example, after the training of IMDB dataset, you want to …See details»
SSRNet: A Two-branch Real-time Semantic Segmentation ... - IEEE …
Semantic segmentation, one of the fundamental tasks in computer vision, requires classification for each pixel in an image, and thus semantic segmentation is time-consuming. With the rise …See details»
SSR-Net/README.md at master · shamangary/SSR-Net - GitHub
Sep 19, 2019 [IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation - SSR-Net/README.md at master · shamangary/SSR-NetSee details»
CR-SSRNet: Cross-Sensor Robust Spectral Super-Resolution
Spectral Super-Resolution (SSR) aims at reconstructing a latent hyperspectral images (HSI) from a RGB image. Recent progress mainly focused on building a deep spectral super-resolution …See details»
SSR-Net: A Compact Soft Stagewise Regression Network for Age
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SSRNet: In-Field Counting Wheat Ears Using Multi-Stage …
Fast and accurate counting of wheat ears in field conditions is a key element for determining wheat yield. To obtain the number of wheat ears in a field, we propose a new counting …See details»