https://github.com/choidae1/2022-kccv-programming
Repo for Learning at 2022 한국컴퓨터비전학회(KCCV) 프로그래밍
https://github.com/choidae1/2022-kccv-programming
Last synced: 2 months ago
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Repo for Learning at 2022 한국컴퓨터비전학회(KCCV) 프로그래밍
- Host: GitHub
- URL: https://github.com/choidae1/2022-kccv-programming
- Owner: ChoiDae1
- Created: 2022-02-23T17:27:53.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-02-24T08:30:16.000Z (about 3 years ago)
- Last Synced: 2025-01-17T12:17:29.485Z (4 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 11.5 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 2022 KCCV Programming
Repo for Learning at 2022 한국컴퓨터비전학회(KCCV) 프로그래밍 (컴퓨터 비전을 위한 딥러닝 프로그래밍)
## Introduce the Curriculum -> [Introduction link](https://github.com/ChoiDae1/2022_Korea_CV_Society_Programming/blob/main/%ED%95%9C%EA%B5%AD%EC%BB%B4%ED%93%A8%ED%84%B0%EB%B9%84%EC%A0%84%ED%95%99%ED%9A%8C_%ED%94%84%EB%A1%9C%EA%B7%B8%EB%9E%98%EB%B0%8D%EC%BB%A4%EB%A6%AC%ED%81%98%EB%9F%BC.pdf)
### 1. Deep Learning 기초 및 Image Classification -> [code link](https://github.com/ChoiDae1/2022_Korea_Compuer_Vision_Society_Programming/blob/main/Deep_Learning_%EA%B8%B0%EC%B4%88_%EB%B0%8F_Image_Classification.ipynb)
- Basic of Deep Learning, CNN.
- Implemeting simple classifier model and apply it to CIFAR10 Dataset.
### 2. Stereo-based Depth Estimation -> [code link](https://github.com/ChoiDae1/2022_Korea_Compuer_Vision_Society_Programming/blob/main/PSMnet.ipynb)
- Basic of Stereo based Depth Estimation.
- Implementing PSMNet and apply it to KITTI dataset.
### 3. Optical Flow Estimation -> [code link](https://github.com/ChoiDae1/2022_KCCV_Programming/tree/main/Opticalflow)
- Concept of Optimal Flow Estimation.
- Implementing FlowNetS, FlowNetC and apply it to KITTI dataset.
### 4. Object Detection and Human-Object Interaction Detection -> [code link](https://github.com/ChoiDae1/2022_KCCV_Programming/tree/main/Object%20Detection)
- Basic of Object Detection and Concept of Human-Object Interaction Detection.
- Implementing Object Detection Pretrained model and apply it to COCO Dataset.
- Implementing HOTR.
### 5. Few-Shot Semantic Segmentation -> [code link](https://github.com/ChoiDae1/2022_KCCV_Programming/tree/main/Few%20Shot%20Segmentation)
- Concept of Cost Aggregation and Few-Shot Semantic Segmentation.
- Implementing CATs and VAT.