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This free vision test is designed to help victims determine if they have experienced neurological vision loss after a stroke or brain injury and can be performed online with instant preliminary results. To properly determine the presence of a visual defect, the results of this free vision test sh...
A computer program is described which controls the process, and enables display of the field of vision, determination of vision threshold contours and plotting the shape of the blind spot. The program includes a routine for identifying which eye is under test by applying a spot which should be...
The current deep learning methods are widely used in various computer vision tasks, and surface defect detection is generally regarded as its specific application in the industrial field. In traditional understanding, the reason why deep learning methods cannot be directly applied to surface defect dete...
An Empirical Study of Training Self-Supervised Vision Transformers A Simple Framework for Contrastive Learning of Visual Representations Bootstrap Your Own Latent A New Approach to Self-Supervised Learning Contrastive Learning for Conversion Rate Prediction Contrastive Learning for Interactive Recommendation in...
Behavior Research Methods (2024) 56:1900–1915 https://doi.org/10.3758/s13428-023-02125-1 A field test of computer‑vision‑based gaze estimation in psychology Niilo V. Valtakari1 · Roy S. Hessels1 · Diederick C. Niehorster2,3 · Charlotte Viktor...
The question can be answered in many ways. First of all, there are visual field devices used to perform automated static perimetry and those for manual kinetic perimetry. Automatedtests utilize computer programs to vary test speed, target size, and lumin
Vision based sensors and different types of camera are used for images. Given a robotic system with dynamics in the feature space, a set of constraints on the robot motion and features that to be satisfied by robot during the motion, the initial and final configurations, find a sequence of ...
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@inproceedings{guan2024neural, title={Neural Markov Random Field for Stereo Matching}, author={Guan, Tongfan and Wang, Chen and Liu, Yun-Hui}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={5459--5469}, year={2024} } Acknowledgements Th...