Name
Abstract | ||
|---|---|---|
•A general technique for selecting labelled and unlabelled frames from driving videos for semantic segmentation.•Proposed and studied a new objective for incorporating pointwise and pairwise criteria for frame subset selection.•Proposed two new criteria, PW-distinctiveness and PW-uncertainty, for subset selection using deep learning models.•Proposed techniques show impressive compression of 100:4 over keyframes, with ~ 3% reduction in performance. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patrec.2020.03.031 | Pattern Recognition Letters |
Keywords | DocType | Volume |
Active learning,Video frame selection,Autonomous driving,Semantic segmentation | Journal | 133 |
ISSN | Citations | PageRank |
0167-8655 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soumi Das | 1 | 0 | 1.01 |
| Sayan Mandal | 2 | 4 | 2.78 |
| Ashwin Bhoyar | 3 | 0 | 0.34 |
| Madhumita Bharde | 4 | 0 | 0.34 |
| Niloy Ganguly | 5 | 1306 | 121.03 |
| Suparna Bhattacharya | 6 | 92 | 7.89 |
| Sourangshu Bhattacharya | 7 | 94 | 14.00 |