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Projects
개인연구 및 실습 관련 자료를 업로드 합니다.
2023
- Project_dy3. BOAT Swin + shortcut
- Project_dy2. Swin-tiny + Shortcut
- Project_dy1. Double SW-MSA + shortcut
- Project_dy0. Swin + Double SW-MSA
- BOAT CSwin-T Transformer for Classification - Inference with ImageNet1K(mini version) dataset
2022
- CSwin-T Transformer for Classification - Inference with ImageNet1K(mini version) dataset
- BOAT-Swin Transformer for Classification - Inference with ImageNet1K(mini version) dataset
- Swin-T Transformer for Classification - Inference with ImageNet1K(mini version) dataset
- Swin Transformer for Object Detection - Inference with COCO dataset 4. Cascade Mask RCNN pretrained ImageNet22k
- Swin Transformer for Object Detection - Inference with COCO dataset 3. Cascade Mask RCNN (SwinTransformer)
- Swin Transformer for Object Detection - Inference with COCO dataset 2. Cascade Mask RCNN (ResNet50)
- Swin Transformer for Object Detection - Inference with COCO dataset 1. Mask RCNN (ResNet50)
- Swin Transformer for Object Detection - Demo Test
- Docker for mmdetection
- Using Docker containers in VS Code
- How to get started with Docker
- (Matlab) 딥러닝을 사용한 Semantic Segmentation
- (Python) Swin Transformer - Image Classification
- (Ros) LSM을 이용한 Lane Fitting
- (Ros) Point Cloud Filtering - kdtree , clustering
- (Ros) Point Cloud Filtering - Voxel , Passthrough