A coarse-to-fine approach for fast deformable object detection
We present a method that can dramatically accelerate object detection with part based models. The method is based on the observation that the cost of detection is likely to be dominated by the cost of matching each part to the image, and not by the cost of computing the optimal configuration of the...
Main Authors: | Pedersoli, M, Vedaldi, A, Gonzàlez, J |
---|---|
Formato: | Journal article |
Idioma: | English |
Publicado em: |
2011
|
Registos relacionados
-
Detecting Camouflaged Objects via Multi-Stage Coarse-to-Fine Refinement
Por: Yuye Wang, et al.
Publicado em: (2024-01-01) -
Coarse-to-Fine Approach: Automatic Delineation of Kidney Ultrasound Data
Por: Tao Peng, et al.
Publicado em: (2024-12-01) -
Enhanced copy-paste image forgery detection based on Archimedean spiral and coarse-to-fine approach /
Por: Sekeh, Mohammad Akbarpour, 1978- , author, et al.
Publicado em: (2013) -
Residual aligner-based network (RAN): motion-separable structure for coarse-to-fine discontinuous deformable registration
Por: Zheng, J-Q, et al.
Publicado em: (2023) -
Coarse–Fine Combined Bridge Crack Detection Based on Deep Learning
Por: Kaifeng Ma, et al.
Publicado em: (2024-06-01)