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According to the ImageNet page
> The most highly-used subset of ImageNet is the [ImageNet Large Scale Visual Recognition Challenge (ILSVRC)](https://image-net.org/challenges/LSVRC/index.php) 2012-2…
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## Summary
Include model action/activity/interaction recognition (video).
## Datasets
- [Kinetics400](https://paperswithcode.com/dataset/kinetics-400-1)
The dataset contains 400 human action classes,…
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- https://arxiv.org/abs/2104.12690
- 2021 CVPR
データは現代のコンピュータビジョンのエンジンであり、大規模なデータセットを収集する必要があります。
これにはコストがかかり、ラベルの品質を保証することが大きな課題となっている。
本論文では、大規模な画像コレクションのマルチクラス分類ラベルを収集するための効率的なアノテーション戦略を検討する。
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e4exp updated
3 years ago
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Use the wordcloud python library to generate a word cloud from this (source: Modified from I2K Program):
```
BioImage-Analysis Code Generation
Introduction to CellProfiler: A beginner’s guide to …
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Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …
zmaas updated
2 months ago
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🔍 **Problem Description**:
🧠 **Model Description**:
The project will implement a **Convolutional Neural Network (CNN)** using **Transfer Learning** with a pre-trained model such as **ResNet50** …
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#### Describe the workflow you want to enable
If the target is discrete multiclass, but ordinal (ordered) in nature (e.g. Likert scale, user ratings, preference levels), as opposed to nominal, wo…
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# Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video Classification #
- Author: Po-Yao Huang, Ye Yuan, Zhenzhong Lan, Lu Jiang, Alexander G. Hauptmann
- Orig…
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Goal: Compare random forests with a simple multi layer perceptron in a simple benchmark experiment.
1. We need to define the tasks:
Use three simple small tasks from OpenML: https://mlr3book.ml…
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After reading the paper "Classification of large-scale high-resolution SAR image with deep transfer learning", i am interested in transfer learning, but i cannot find "train_or_test" file