Oriented Object Proposals

By Shengfeng He, Rynson W. H. Lau. 2015

31 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Xiaogang Wang
2. Yan Ke
3. Dhruv Batra
4. Neelima Chavali
5. Yu Liu
6. Wanli Ouyang
7. Harsh Agrawal
8. Weiyao Lin

In Computer Vision and Pattern Recognition

1. Xiaogang Wang
2. Wanli Ouyang
3. Luc Van Gool
4. Dacheng Tao
5. Yi Yang
6. Trevor Darrell
7. Bernt Schiele
8. Ming-Hsuan Yang

Citations in the corpus

• Object-Proposal Evaluation Protocol is ‘Gameable’ (2015, background): “Types of Object Proposals: Object proposals can be broadly categorized into two categories: • Window scoring : In these methods, the space of all possible windows in an image is sampled to get a sub-set of the windows ( e.g ., via sliding window).”
• Semantic Image Interpretation - Integration of Numerical Data and Logical Knowledge for Cognitive Vision (2018, unknown): “These take the input proposals and classify (or discard) them with some labels [46, 114, 104, 45, 101, 21, 58, 36, 37].”
• PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments (2020, background): “[12] formulated a generative probabilistic model to extract OBB proposals.”
• Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection (2017, background): “In recent years, CNN-based approaches (Hayder et al., 2016; Ghodrati et al., 2016; Pont-Tuset and Gool, 2015; He and Lau, 2015) are more popular with a non-trivial margin of performance boost.”