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...
Автори: | Pedersoli, M, Vedaldi, A, Gonzàlez, J |
---|---|
Формат: | Journal article |
Мова: | English |
Опубліковано: |
2011
|
Схожі ресурси
Схожі ресурси
-
Detecting Camouflaged Objects via Multi-Stage Coarse-to-Fine Refinement
за авторством: Yuye Wang, та інші
Опубліковано: (2024-01-01) -
Coarse-to-Fine Approach: Automatic Delineation of Kidney Ultrasound Data
за авторством: Tao Peng, та інші
Опубліковано: (2024-12-01) -
Enhanced copy-paste image forgery detection based on Archimedean spiral and coarse-to-fine approach /
за авторством: Sekeh, Mohammad Akbarpour, 1978- , author, та інші
Опубліковано: (2013) -
Residual aligner-based network (RAN): motion-separable structure for coarse-to-fine discontinuous deformable registration
за авторством: Zheng, J-Q, та інші
Опубліковано: (2023) -
Coarse–Fine Combined Bridge Crack Detection Based on Deep Learning
за авторством: Kaifeng Ma, та інші
Опубліковано: (2024-06-01)