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References user story #1
## TODO:
- [ ] :question: Answer question `Task5_Q1` on Canvas
- [ ] :bust_in_silhouette: Assign yourself to this task (this will prompt the [WorkflowLearning GitHub App]…
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Project pageのリンクが違う？
[Project page] Optimizing Video Object Detection via a Scale-Time Lattice
https://cvpaperchallenge.github.io/CVPR2018_Survey/#/ID_Learning_Pixel-level_Semantic_Affinity_with_I…
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## Bug Description
I have used your template before (approx 1 year ago) without issues. Now, I re-cloned your project, installed it's dependencies, and I am trying to run the training job: `poetry …
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### Title of the talk
From CRUD API to smart app: Building copilots with Microsoft Semantic Kernel
### Description
The advent of LLMs has opened the floodgates to the development of smart(sup…
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I tested all of the models and they all worked fine, except the vnet_2d:
model.vnet_2d((128, 128, 3), filter_num=[64, 128, 256, 512], n_labels=7,
res_num_ini…
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ConceptNet Numberbatch is a set of semantic vectors (also known as word embeddings) **than can** be used directly as a representation of word meanings or as a starting point for further machine learni…
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Hey there,
Thanks for the efforts of releasing the code! I am looking for the model and the training code for the ICLR'20 paper _Semantically-Guided Representation Learning for Self-Supervised Mon…
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Currently, few-shot learning prompts contain only fixed examples and thus may not benefit from those examples when processing text that is significantly different from the examples in the prompts. The…
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Note, 4.1.2023: During this research effort I've been browsing, reviewing, visiting and revisiting, studying a huge amount of articles, concepts,, linked by association during browsing etc. for feedin…
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Hi there,
I'm working on IDD dataset for performing semantic segmentation on it. I find PANet is a quite good model to carry out few shot learning for semantic segmentation and is suitable for my tas…