BING: binarized normed gradients for objectness estimation at 300fps
Training a generic objectness measure to produce a small set of candidate object windows, has been shown to speed up the classical sliding window object detection paradigm. We observe that generic objects with well-defined closed boundary can be discriminated by looking at the norm of gradients, wit...
| Những tác giả chính: | , , , |
|---|---|
| Định dạng: | Conference item |
| Ngôn ngữ: | English |
| Được phát hành: |
IEEE
2014
|
Search Result 1
BING: binarized normed gradients for objectness estimation at 300 fps
Được phát hành 2019
Journal article