Name
Abstract | ||
|---|---|---|
Edge detection has made significant progress with the help of deep convolutional networks (ConvNet). These ConvNet-based edge detectors have approached human level performance on standard benchmarks. We provide a systematical study of these detectors' outputs. We show that the detection results did not accurately localize edge pixels, which can be adversarial for tasks that require crisp edge inpu... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIP.2018.2874279 | IEEE Transactions on Image Processing |
Keywords | DocType | Volume |
Image edge detection,Detectors,Task analysis,Proposals,Optical imaging,Semantics,Standards | Journal | 28 |
Issue | ISSN | Citations |
3 | 1057-7149 | 8 |
PageRank | References | Authors |
0.50 | 33 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yupei Wang | 1 | 13 | 1.97 |
| Xin Zhao | 2 | 139 | 17.21 |
| Yin Li | 3 | 797 | 35.85 |
| Kaiqi Huang | 4 | 1931 | 118.74 |