Amodal Instance Segmentation for Mealworm Growth Monitoring Using Synthetic Training Images by Przemyslaw Dolata, Pawel Majewski, Piotr Lampa, Maciej Zieba, Jacek Reiner

“…Automatic dimensioning of mealworms based on computer vision is challenging due to occlusions. Amodal instance segmentation (AIS) could be a viable solution, but the acquisition of annotated training data is difficult and time-consuming. …”
Get full text

Weed instance segmentation from UAV Orthomosaic Images based on Deep Learning by Chenghao Lu, Klaus Gehring, Stefan Kopfinger, Heinz Bernhardt, Michael Beck, Simon Walther, Thomas Ebertseder, Mirjana Minceva, Yuncai Hu, Kang Yu

Get full text

Beyond the Seeds: Fairness Testing via Counterfactual Analysis of Non-Seed Instances by Hussaini Mamman, Shuib Basri, Abdullateef Oluwagbemiga Balogun, Abdul Rehman Gilal, Abdullahi Abubakar Imam, Ganesh Kumar, Luiz Fernando Capretz

“…Existing methods for detecting individual discrimination often rely on initial “seed” instances, which are data points selected from the dataset that have more likelihood of exhibiting discrimination. …”
Get full text

A Synthetic Data Generation Approach With Dynamic Camera Poses for Long-Range Object Detection in AI Applications by Misbah Bibi, Anam Nawaz Khan, Muhammad Faseeh, Qazi Waqas Khan, Rashid Ahmad, do-Hyeun Kim

Subjects: Get full text

Advanced 3D Depth Imaging Techniques for Morphometric Analysis of Detected On-Tree Apples Based on AI Technology by Eungchan Kim, Sang-Yeon Kim, Chang-Hyup Lee, Sungjay Kim, Jiwon Ryu, Geon-Hee Kim, Seul-Ki Lee, Ghiseok Kim

Subjects: Get full text

Training Fully Convolutional Neural Networks for Lightweight, Non-Critical Instance Segmentation Applications by Miguel Veganzones, Ana Cisnal, Eusebio de la Fuente, Juan Carlos Fraile

“…Augmented reality applications involving human interaction with virtual objects often rely on segmentation-based hand detection techniques. Semantic segmentation can then be enhanced with instance-specific information to model complex interactions between objects, but extracting such information typically increases the computational load significantly. …”
Get full text

Forest Change Monitoring Based on Block Instance Sampling and Homomorphic Hypothesis Margin Evaluation by Wei Feng, Fan Bu, Puxia Wu, Gabriel Dauphin, Yinghui Quan, Mengdao Xing

Get full text

Peduncle Detection of Ripe Strawberry to Localize Picking Point Using DF-Mask R-CNN and Monocular Depth by Niraj Tamrakar, Bhola Paudel, Sijan Karki, Nibas Chandra Deb, Elanchezhian Arulmozhi, Jung Hoo Kook, Myeong Yong Kang, Dae Yeong Kang, Oluwasegun Moses Ogundele, Bikash Nakarmi, Moon Byung-Eun, Hyeon Tae Kim

Subjects: “…Instance segmentation…”
Get full text

Case Report: Two instances of lung metastasis in low-grade endometrial stromal sarcoma by Anying Long, Xiaoxue Tian, Yao Li, Shuai Luo, Jinjing Wang

Get full text

Enhanced Atrous Spatial Pyramid Pooling Feature Fusion for Small Ship Instance Segmentation by Rabi Sharma, Muhammad Saqib, C. T. Lin, Michael Blumenstein

“…However, existing instance segmentation algorithms do not detect and segment them, resulting in inaccurate ship segmentation. …”
Get full text

Parameter Prediction for Metaheuristic Algorithms Solving Routing Problem Instances Using Machine Learning by Tomás Barros-Everett, Elizabeth Montero, Nicolás Rojas-Morales

“…We use a well-known instance set that considers between 200 and 1000 clients. …”
Get full text

Blur CLIP Context Model-Based Image Coding for Machines Framework With Down and Up Sample Pairs for Multitasks by Zhongpeng Zhang, Ying Liu

Subjects: Get full text

A vision model for automated frozen tuna processing by Richeng Wang, Xiongsheng Zheng, Yan Chen

Subjects: Get full text

Instance Segmentation and 3D Pose Estimation of Tea Bud Leaves for Autonomous Harvesting Robots by Haoxin Li, Tianci Chen, Yingmei Chen, Chongyang Han, Jinhong Lv, Zhiheng Zhou, Weibin Wu

“…Quantitative experiments demonstrate that the instance segmentation model achieves an mAP@50 of 92.0% for box detection and 91.9% for mask detection, improving by 3.2% and 3.4%, respectively, compared to the YOLOv8s-seg instance segmentation model. …”
Get full text

Measuring the Effectiveness of Carbon-Aware AI Training Strategies in Cloud Instances: A Confirmation Study by Roberto Vergallo, Luca Mainetti

Get full text

Box2Rip: Instance Segmentation of Amorphous Rip Currents via Box-Supervised Learning by Juno Choi, Muralidharan Rajendran, Yong-Cheol Suh

“…In this paper, we address this crucial problem by introducing Box2Rip, a novel box-supervised instance segmentation (BSIS) framework designed for rip current segmentation using only bounding box annotations. …”
Get full text

Global Semantic Localization from Abstract Ellipse-Ellipsoid Model and Object-Level Instance Topology by Heng Wu, Yanjie Liu, Chao Wang, Yanlong Wei

“…Second, we model environments using 3D (Three-dimensional) ellipsoids, instance topology, and ellipsoid descriptors. Finally, the detected ellipses are aligned with the ellipsoids in the environment through semantic object association, and 6-DoF (Degree of Freedom) pose estimation is performed using the ellipse-ellipsoid model. …”
Get full text

HGCS-Det: A Deep Learning-Based Solution for Localizing and Recognizing Household Garbage in Complex Scenarios by Houkui Zhou, Chang Chen, Zhongyi Xia, Qifeng Ding, Qinqin Liao, Qun Wang, Huimin Yu, Haoji Hu, Guangqun Zhang, Junguo Hu, Tao He

Subjects: “…garbage detection…”
Get full text

Tomato Stem Recognition Based on Yolox by Holý Miroslav, Cviklovič Vladimír, Tóth Ladislav, Vacho Lukáš, Olejár Martin, Kósa Patrik, Baláži Juraj, Paulovič Stanislav

Subjects: Get full text

BrRacemeCounter: An AI-based desktop tool for counting racemes in Urochloa spp. by Darwin Alexis Arrechea-Castillo, Paula Espitia-Buitrago, Ronald David Arboleda, Ana Marcela Gallego-Muñoz, Valeria Moreno-Domínguez, Juan Manuel Gaviria-Valencia, Valeria Andrea Bravo, Andres Felipe Ruiz-Hurtado, Rosa N. Jauregui, Juan Andrés Cardoso

Subjects: “…Flowers detection…”
Get full text