sperse
发表于 2025-3-25 05:02:36
Betriebsärztliche InformationssystemeIn this chapter, we talk about one of the typical image understanding problems—cross-camera person re-identification. Some classical visual descriptors and metric learning algorithms for person re-identification are detailed.
Concrete
发表于 2025-3-25 09:46:21
A. M. Thiess,H. Hochadel,R. Link,G. WagnerIn this chapter we firstly introduce the development and the main reasons of the success of deep learning, then the structure and principle of the deep CNN are explored, and several classical convolution network models are analyzed, finally two instances based on CNN architecture are given.
anchor
发表于 2025-3-25 15:37:00
https://doi.org/10.1007/978-3-319-77223-3Computer Image Processing; Digital Image Processing; Scene Analysis; Image Understanding; Scene Segmenta
Bridle
发表于 2025-3-25 17:27:53
978-3-030-08402-8Springer International Publishing AG, part of Springer Nature 2019
Cacophonous
发表于 2025-3-25 20:49:51
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FRAUD
发表于 2025-3-26 03:46:15
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口音在加重
发表于 2025-3-26 08:06:04
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declamation
发表于 2025-3-26 09:57:42
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separate
发表于 2025-3-26 14:04:18
https://doi.org/10.1007/978-3-662-26590-1radation of the image. Image correction refers to the restoration of distorted images. The causes of image distortion including: aberration, distortion and limited bandwidth of the imaging system; geometry distortion caused by photographic attitude and nonlinear sweep scanning of the imaging device;
取回
发表于 2025-3-26 18:19:43
https://doi.org/10.1007/978-3-662-06037-7n fuzzy Dempster-Shafer evidence theory. Moreover, the image quality and fusion evaluations are also introduced. In this chapter we introduce the image fusion methods, including the wavelet transform based fusion, region based fusion and the fusion method based on fuzzy Dempster-Shafer evidence theo