美国南加利福尼亚大学 ICT Graphic Lab 的 Paul Debevec 领导的研究团队开发的 Light Stage[30]三维采集重建平台是目前光场计算在三维重建中非常前沿的研究之一。 图5(a)为其中一种Light Stage采集系统样机Light Stage 5,通过对设备上光源的调制,相机可以采集到不同光照下的光场信息,进而利用多视几何以及光影模型的...
“NJVISIONPOWER/Safety-helmet-wearing-dataset: safety helmet wearing detect dataset, with pretrained model.” GitHub. https://github.com/njvisionpower/Safety-Helmet-Wearing-Dataset. Accessed 10 Feb 2022 Peng, D., Sun, Z., Chen, Z., Xie, L., Jin, L.: Detecting heads using feature refine...
Bunny training consists of two stages: (1) pretrain stage: use data to connect afrozen pretrainedvision encoder to afrozenLLM, and only the connector is trained; (2) visual instruction tuning stage: use data to teach the model to follow multimodal instructions, where the connector, learnable ...
Volumetric imaging with LS-pfOCE adopted a 3D BM-mode acquisition scheme36, with the modification that slow-axis scanning was accomplished by translating the sample with a motorised stage (instead of galvanometer scanning as typically done for 3D-OCT data acquisition). For all LS-pfOCE results ...
Corner Proposal Network for Anchor-free, Two-stage Object Detection | [ECCV' 20] |[pdf] A General Toolbox for Understanding Errors in Object Detection | [ECCV' 20] |[pdf] [Chained-Tracker] Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Dete...
The 3D scanning is performed through mechanical translation of the sample through the static vertical LS, by means of a linear stepper motor stage. An additional stepper motor rotational stage is also included, to enable the rotation of the sample respect to its vertical axis (Fig. 3D). ...
(TERA 15-RX-FC), which is mounted on a 2D stage for automatedxyspatial scanning. Along with the high-repetition integrated delay stage (>45 Hz for a 20-ps temporal scanning range), this system enables rapid hyperspectral imaging of THz vector beams, which are collimated and refocused by...
Performance investigation of two-stage detection techniques using traffic light detection dataset Using a camera to monitor an object or a group of objects over time is the process of object detection. It can be used for a variety of things, including s... SA Ajagbe,AA Adegun,Olanrewaju A....
gaze calibration was conducted with the participants. We removed the blink-artefacts from the pupil data with the blink detection algorithm from Smart eye pro. All pupil data which had an edge detection accuracy less than 97 percent were deleted from the dataset. Other non-physiological artefacts ...
end generative adversarial network (GAN) in a manner of sequential concatenation. Subsequently, for better performance in balancing spatial details and high-level semantic information, Zhao et al.92applied the multi-stage progressive image restoration network (MPRNet)93for phase-shifting hologram ...