Simultaneous object detection and ranking with weak supervision
A standard approach to learning object category detectors is to provide strong supervision in the form of a region of interest (ROI) specifying each instance of the object in the training images. In this work are goal is to learn from heterogeneous labels, in which some images are only weakly superv...
المؤلفون الرئيسيون: | Blaschko, MB, Vedaldi, A, Zisserman, A |
---|---|
التنسيق: | Conference item |
اللغة: | English |
منشور في: |
Curran Associates
2011
|
مواد مشابهة
-
Weakly supervised deep detection networks
حسب: Vedaldi, A, وآخرون
منشور في: (2016) -
Taxonomic multi-class prediction and person layout using efficient structured ranking
حسب: Mittal, A, وآخرون
منشور في: (2012) -
Learning equivariant structured output SVM regressors
حسب: Vedaldi, A, وآخرون
منشور في: (2012) -
Dissimilarity coefficient based weakly supervised object detection
حسب: Arun, A, وآخرون
منشور في: (2020) -
Efficient Weakly-Supervised Object Detection With Pseudo Annotations
حسب: Qingsheng Yuan, وآخرون
منشور في: (2021-01-01)