A brief analysis of the dense extreme inception network for edge detection
This work describes DexiNed, a Dense Extreme Inception Network for Edge Detection proposed by Xavier Soria, Edgar Riba and Angel Sappa in [IEEE Winter Conference on Applications of Computer Vision (WACV), 2020]. The network is organized in blocks that extract edges at different resolutions, which ar...
Shranjeno v:
| Glavni avtor: | |
|---|---|
| Drugi avtorji: | |
| Format: | article |
| Jezik: | angleščina |
| Izdano: |
2022
|
| Teme: | |
| Online dostop: | https://www.ipol.im/pub/art/2022/423/ https://hdl.handle.net/20.500.12008/34134 |
| Oznake: |
Brez oznak, prvi označite!
|
Podobne knjige/članki: A brief analysis of the dense extreme inception network for edge detection
- A brief analysis of the holistically-nested edge detector
- A sub-pixel edge detector: an implementation of the Canny/Devernay Algorithm
- CS-TRD : A cross-section tree ring detection method
- Smoke detection for static cameras
- Robust lane marking detection based on multi-feature fusion
- Solving the Generalized Steiner Problem in edge-survivable networks