D. Valsesia, et al., "Scale-robust compressive camera fingerprint matching with random projections," ICASSP, 2015, pp. 1697-1701.D. Valsesia, G. Coluccia, T. Bianchi, and E. Magli, "Scale- robust compressive camera fingerprint matching with random projections," to appear in the Proceedings...
SCALE-ROBUST DEEP LEARNING FOR VISUAL RECOGNITION 来自 掌桥科研 喜欢 0 阅读量: 33 作者: Z Jie 摘要: In recent years, deep learning has achieved great progress in almost all the visual recognition tasks. Nevertheless, deep learning lacks both image-level and object-level scale-robustness, ...
Diffusion generative models have achieved remarkable success in generating images with a fixed resolution. However, existing models have limited ability to generalize to different resolutions when training data at those resolutions are not available. Leveraging techniques from operator learning, we present ...
dataset (UHDM), which contains 5,000 real-world 4K resolution image pair, and conduct a benchmark study on the current state of the art. Then, we analyze limitations of the state of the art and summarize the key issue of them, i.e., not scale-robust. To address their deficiencies, ...
Matas, Robust scale-adaptive mean-shift for tracking, in: Image Analysis, Vol. 7944 of Lecture Notes in Computer Science, 2013, pp. 652- 663. 13Vojir, T., Noskova, J. and Matas, J. (2014) Robust Scale-Adaptive Mean-Shift for Tracking. Pattern Recognition Let- ters, 49, 250-258. ...
We then introduce two novel alternative ES for two-sample comparisons, one scale-free and one on the original scale of measurement, and analyse some theoretical properties. We examine these ES for two-sample comparison studies under an assumption of Normality and investigate what happens when both...
3.2. Scale-Robust Feature Network Feature extraction holds a crucial role in remote sensing target detection, yet the significant variations in target scale within remote sensing images present formidable challenges. These differences manifest as substantial variations in target visual features like texture...
Thus, watermark infor- mation is embedded into the four sub-bands of the last scale. We exploit both of the advantages of the DDWT method, which is robust against one kind of geometric attack, i.e. the cropping attack, and the SVD method, which is robust against other geometric attacks...
We propose a new robust scale estimator, the pairwise mean scale estimator P n , which in its most basic form is the interquartile range of the pairwise means. The use of pairwise means leads to a surprisingly high efficiency across many distributions of practical interest. The properties of...
An essential prerequisite for comprehensive medical image analysis is the robust and fast detection of anatomical structures in the human body. To this point, machine learning techniques are most often applied to address this problem, exploiting large annotated image databases to estimate parametric model...