Predict Unmatching Compositions for Compositional Zero-Shot Learning by Soohyeong Kim, Yong Suk Choi

Subjects: “…Compositional zero-shot learning…”
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Zero-Shot Remote Sensing Scene Classification Based on Automatic Knowledge Graph and Dual-Branch Semantic Correlation Supervision by Chao Wang, Jiajun Yang, Tanvir Ahmed, Yang Zhao, Tong Zhang, Bing Sun, Tao Xie, Jie Wang, Tianyu Chen

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Image-Based Nutritional Advisory System: Employing Multimodal Deep Learning for Food Classification and Nutritional Analysis by Sheng-Tzong Cheng, Ya-Jin Lyu, Ching Teng

“…The system employs a fine-tuned CLIP model for zero-shot food recognition, achieving high accuracy across diverse food categories, including unseen items. …”
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Plot-Rice v1.0: A global plot-based rice benchmark dataset with spatiotemporal heterogeneity for scientific deep learning by Ji Ge, Hong Zhang, Wenjiang Huang, Zihuan Guo, Lu Xu, Yazhe Xie, Mingyang Song, Yinhaibin Ding, Chao Wang

“…This framework effectively addresses the limitation of SAM-2, which supports zero-shot segmentation but lacks classification capabilities. …”
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A Decoupled Segmentation-Classification Strategy Based on Semantic-SAM for Precise Semantic Segmentation in Coal Mine Areas by Libing Wang, Jihong Dong, Lei Wang, Feng Liu, Qingke Wen, Bekir Genc

“…It integrates Semantic-SAM’s zero-shot segmentation capability with specialized deep learning models through a “segmentation-classification-update” strategy. …”
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LLM4Mat-bench: benchmarking large language models for materials property prediction by Andre Niyongabo Rubungo, Kangming Li, Jason Hattrick-Simpers, Adji Bousso Dieng

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