Zero‐shot insect detection via weak language supervision by Benjamin Feuer, Ameya Joshi, Minsu Cho, Shivani Chiranjeevi, Zi Kang Deng, Aditya Balu, Asheesh K. Singh, Soumik Sarkar, Nirav Merchant, Arti Singh, Baskar Ganapathysubramanian, Chinmay Hegde

“…These large datasets (for instance, citizen science data curation platforms like iNaturalist) can pave the way for developing powerful artificial intelligence (AI) models for detection and counting. …”
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Advanced segmentation models for automated capsicum peduncle detection in night-time greenhouse environments by Ayan Paul, Rajendra Machavaram

Subjects: “…Capsicum peduncle detection…”
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Occlusion-Aware Worker Detection in Masonry Work: Performance Evaluation of YOLOv8 and SAMURAI by Seonjun Yoon, Hyunsoo Kim

“…This study evaluates the performance of You Only Look Once version 8 (YOLOv8) and a SAM-based unified and robust zero-shot visual tracker with motion-aware instance-level memory (SAMURAI) for worker detection in masonry construction environments under varying occlusion conditions. …”
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Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation Study by Hongbo Chen, Myrtede Alfred, Eldan Cohen

“…We compared ICL with zero-shot (textual entailment), few-shot (SetFit), and supervised fine-tuning approaches. …”
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Machine Learning and Deep Learning Approaches for Fake News Detection: A Systematic Review of Techniques, Challenges, and Advancements by Omar Bashaddadh, Nazlia Omar, Masnizah Mohd, Mohd Nor Akmal Khalid

“…This review also underscores the limited adoption of few-shot and zero-shot learning techniques, highlighting a promising direction for future research on handling emerging misinformation using minimal training data. …”
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UAV-OVD: Open-Vocabulary Object Detection in UAV Imagery via Multi-Level Text-Guided Decoding by Lijie Tao, Guoting Wei, Zhuo Wang, Zhaoshuai Qi, Ying Li, Haokui Zhang

“…Experiments conducted on two widely used benchmark datasets demonstrate that our approach achieves significant improvements in both mean mAP and Recall. For instance, for Zero-Shot Detection on xView, UAV-OVD achieves 9.9 mAP and 67.3 Recall, 1.1 and 25.6 higher than that of YOLO-World. …”
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A Monocular Vision-Based Safety Monitoring Framework for Offshore Infrastructures Utilizing Grounded SAM by Sijie Xia, Rufu Qin, Yang Lu, Lianjiang Ma, Zhenghu Liu

“…The model integrates open-vocabulary object detection and zero-shot segmentation, achieving high performance without additional training. …”
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