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Pose a question about one of the following articles:
[“The Geometry of Culture: Analyzing the Meanings of Class through Word Embeddings.”](https://journals.sagepub.com/doi/full/10.1177/00031224198…
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Hello, in the paper you said you propose a cascade segmentation module, and this module can be potentially be integrated in any previous semantic segmentation networks. Did you add the cascade segment…
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# Prev 2 week
- 论文
- 2014-Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
- 2015-Fully Convolutional Networks for Semantic Segmentation(已复现)
- 2017-Se…
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## 🚀 Feature
### Motivation
paper "[LEARNING TO REPRESENT PROGRAMS WITH GRAPHS](https://arxiv.org/pdf/1711.00740.pdf)" which encode computer programs as graphs, with rich semantic informatio…
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### Description
Host Information:
```
System Version: macOS 12.7.5(21H1222)
Machine Identifier: MacBookPro13,2
```
I have a go binary that runs inside an Alpine container. When developi…
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related paper
|摘要|
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|State-of-the-art approaches for semantic image segmentation are built on Convolutional Neural Networks (CNNs). The typical segmentation architecture is composed of (a) a…
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Hi, thanks for sharing the code. Is the paper "LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation" published? Because of I couldn't find it anywhere!
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Hello!
I have a dataset of images in which the edges are manually labeled with different colors. I am planning to use deep learning on these training images. Then, I am thinking to test the model so …
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In _Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks_ Section 4:Evaluation - Semantic Textual Similarity, you include the Spearman rank correlation between the cosine similarity of the e…
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In large communication networks, policies for access-control, quality of service, intrusion detection etc are usually managed by distributed groups of administrators. A common challenge they face is t…