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Hi,
Which part of the code compute the approximation of semantic drift compensation? I mean, equation (10) and (11) in the paper.
https://openaccess.thecvf.com/content_CVPR_2020/papers/Yu_Seman…
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## 🚀 Feature
Support ADE20k for semantic segmentation with deeplabv3+
## Motivation & Examples
This will be helpful when people need to benchmark different self-supervised learning method, sinc…
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# Description/Context
Experiment with various approaches to running semantic search queries with opensearch, and combining the results from standard text-based search.
# Plan/Design
Some releva…
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### Mission Statement
The InterConnect Semantic Interoperability Framework (SIF) is pioneering semantic interoperability without a centralized facilitator in cross domain challenges related to grids …
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I set the operating_mode = Generate_semantic_sampled_points, but the point cloud that was supposed to be segmented and labeled was not generated. Could you please let me know if I made a mistake in th…
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Hello guys, I am recently studying your paper "Learning Based Joint Coding-Modulation for Digital Semantic Communication Systems" submitted on arXiv, would you please share your simulation codes of it…
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### Title
Automated Question Generation for Enhanced Learning
### Team Name
Chaotic Noobs
### Email
202318015@daiict.ac.in
### Team Member 1 Name
Siddharth Kadam
### Team Membe…
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Hi,
I have read the RasterFrames supervised machine learning on the page of "https://rasterframes.io/supervised-learning.html", now I would like to implement Deep Learning similar to “supervi…
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Hi, do you have a plan to release the segmentation code? I reproduced the Mambaout-Tiny on ImageNet-1K, which achieves 82.6 top1 accuracy. I think the result is reasonable given the randomness and the…
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# Reference
**paper**
- 09/2018 [Searching for Efficient Multi-Scale Architectures for Dense Image Prediction](https://arxiv.org/abs/1809.04184)
- 10/2018 [Fast Neural Architecture Search of Compac…