Robust Object Tracking Using Affine Transformation and Convolutional Features
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2960105
Abstract: The state-of-the-art trackers using deep learning technology have no special strategy to capture the geometric deformation of the target. Based on that the affine manifold can better capture the target shape change and that the… read more here.
Keywords: convolutional features; robust object; affine transformation; object tracking ... See more keywords
Does training with blurred images bring convolutional neural networks closer to humans with respect to robust object recognition and internal representations?
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2023.1047694
Abstract: It has been suggested that perceiving blurry images in addition to sharp images contributes to the development of robust human visual processing. To computationally investigate the effect of exposure to blurry images, we trained convolutional… read more here.
Keywords: recognition; convolutional neural; object recognition; blurry images ... See more keywords