Notice
Recent Posts
Recent Comments
Link
일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | |
7 | 8 | 9 | 10 | 11 | 12 | 13 |
14 | 15 | 16 | 17 | 18 | 19 | 20 |
21 | 22 | 23 | 24 | 25 | 26 | 27 |
28 | 29 | 30 | 31 |
Tags
- GNN
- DIINN
- SISR
- deep learning
- ConvNeXt
- FRFSR
- Cityscapes
- INR
- graph neural network
- SegFormer
- TAAM
- arbitrary scale
- hypergraph
- Zero-Shot sr
- GNN in image
- ADE20K
- implicit representation
- Graph
- CrossNet
- Reference-based SR
- Feature reuse
- Cell detection
- Referense Super Resoltuion
- session-based recommendation
- Reference Super-Resolution
- Cell-tissue
- LIIF
- TRANSFORMER
- Tissue segmentation
- Super-Resolution
Archives
- Today
- Total
목록2024/07 (1)
딥러닝 분석가 가리
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
EMCAD: Efficient Multi-scale Convolutional Attention Decodingfor Medical Image Segmentation (CVPR 2024)AbstractIn medical image segmentation, an efficient and effective decoding mechanism is crucialThese decoding mechanisms usually come with high computational costsEMCAD, a new efficient multi-scale convolutional attention decoder, designed to optimize both performance and computational efficien..
딥러닝 논문 리뷰
2024. 7. 16. 15:08