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Found 6 papers, 1 papers with code
On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification
In this contribution, we introduce a novel ensemble method for the re-identification of industrial entities, using images of chipwood pallets and galvanized metal plates as dataset examples.
Behind the Screen: Investigating ChatGPT's Dark Personality Traits and Conspiracy Beliefs
This paper tries to shed light on this, providing an in-depth analysis of the dark personality traits and conspiracy beliefs of GPT-3. 5 and GPT-4.
Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings
A more practical approach is to utilize existing cameras in such spaces in order to address the underlying pose estimation problem and to localize objects of interest.
The Self-Perception and Political Biases of ChatGPT
In addition, ChatGPT's Big Five personality traits were tested using the OCEAN test and its personality type was queried using the Myers-Briggs Type Indicator (MBTI) test.
Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities -- A Framework and Dataset Creation Approach
This contribution presents the TOMIE framework (Tracking Of Multiple Industrial Entities), a framework for the continuous tracking of industrial entities (e. g., pallets, crates, barrels) over a network of, in this example, six RGB cameras.
On the Applicability of Synthetic Data for Re-Identification
The quality of the generated images was gauged using a perspective classifier that was trained on the original images and then applied to the synthetic ones, comparing the accuracy between the two sets of images.
