Results 131 to 140 of about 1,387,057 (347)

Towards Good Practices for Multi-Person Pose Estimation [PDF]

open access: yesarXiv, 2019
Multi-Person Pose Estimation is an interesting yet challenging task in computer vision. In this paper, we conduct a series of refinements with the MSPN and PoseFix Networks, and empirically evaluate their impact on the final model performance through ablation studies.
arxiv  

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows

open access: yesAdvanced Functional Materials, EarlyView.
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao   +5 more
wiley   +1 more source

Endoscopic training—is the future three‐dimensional?

open access: yesLaryngoscope Investigative Otolaryngology, 2018
Background/Objectives Endoscopic surgery has a distinct disadvantage compared to direct vision: loss of binocular vision. Three‐dimensional endoscopy has been welcomed due to the promise of improving stereopsis.
Abdul Nassimizadeh   +4 more
doaj   +1 more source

SPARK: Multi-Vision Sensor Perception and Reasoning Benchmark for Large-scale Vision-Language Models [PDF]

open access: yesarXiv
Large-scale Vision-Language Models (LVLMs) have significantly advanced with text-aligned vision inputs. They have made remarkable progress in computer vision tasks by aligning text modality with vision inputs. There are also endeavors to incorporate multi-vision sensors beyond RGB, including thermal, depth, and medical X-ray images. However, we observe
arxiv  

Towards Good Practices for Instance Segmentation [PDF]

open access: yesarXiv, 2019
Instance Segmentation is an interesting yet challenging task in computer vision. In this paper, we conduct a series of refinements with the Hybrid Task Cascade (HTC) Network, and empirically evaluate their impact on the final model performance through ablation studies. By taking all the refinements, we achieve 0.47 on the COCO test-dev dataset and 0.47
arxiv  

Impact of Gamification of Vision Tests on the User Experience

open access: yes, 2017
Objective: Gamification has been incorporated into vision tests and vision therapies in the expectation that it may increase the user experience and engagement with the task.
Bodduluri, L   +3 more
core   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

open access: yesAdvanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto   +8 more
wiley   +1 more source

Nano‐Topography Enhanced Topological‐Cell‐Analysis in Radiation‐Therapy

open access: yesAdvanced Healthcare Materials, EarlyView.
Radiotherapy, a treatment that implies exposition of cells to radiation, offers promise to treat cancer. Here, it is hypothesized that the nanoscale details of a scaffold can amplify the response of cells to radiation, measured through topological variables, providing ways to assess the efficacy of Radiotherapy treatment.
Francesca Pagliari   +8 more
wiley   +1 more source

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