Search Results - INSERT SHOT

Plain Template Insertion: Korean-Prompt-Based Engineering for Few-Shot Learners by Jaehyung Seo, Hyeonseok Moon, Chanhee Lee, Sugyeong Eo, Chanjun Park, Jihoon Kim, Changwoo Chun, Heuiseok Lim

“…As a step toward realizing a Korean-prompt-based few-shot learner, we attempt to apply prompt engineering to the Korean language understanding benchmark dataset and introduce plain template insertion to overcome data scarcity in a more practical few-shot setting. …”
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Knowledge-Enhanced Prompt Learning for Few-Shot Text Classification by Jinshuo Liu, Lu Yang

“…Prompt learning is an effective method for addressing few-shot text classification tasks in low-resource settings. …”
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Zero-Shot Prediction of Conversational Derailment With Large Language Models by Kenya Nonaka, Mitsuo Yoshida

“…This study aims to evaluate the zero-shot prediction performance of conversational derailment using LLMs. …”
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Learning feature alignment and dual correlation for few‐shot image classification by Xilang Huang, Seon Han Choi

“…Experimental results on three few‐shot classification benchmarks show that the proposed method outperformed related methods and resulted in a 3% performance boost in the 1‐shot setting by inserting the proposed module into the related methods.…”
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ConvNeXt-ECA: An Effective Encoder Network for Few-Shot Learning by Cheng-Xue Lao, Ah Chung Tsoi, Roberto Bugiolacchi

“…After having introduced a comprehensive general solution framework for few-shot learning (FSL) classification problems, we provide details of the data augmentation schemes and the learning techniques used, which are critical in minimizing the risk of overfitting, due to the fact that only a few labeled samples are available to fine-tune a robust encoder. …”
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A novel multi-shot target platform for laser-driven laboratory astrophysics experiments by Pablo Perez-Martin, Irene Prencipe, Manfred Sobiella, Fabian Donat, Ning Kang, Zhiyu He, Huiya Liu, Lei Ren, Zhiyong Xie, Jun Xiong, Yan Zhang, Florian-Emanuel Brack, Michal Červenák, Pavel Gajdoš, Lenka Hronová, Kakolee Kaniz, Michaela Kozlová, Florian Kroll, Xiayun Pan, Gabriel Schaumann, Sushil Singh, Michal Šmíd, Francisco Suzuki-Vidal, Panzheng Zhang, Jinren Sun, Jianqiang Zhu, Miroslav Krůs, Katerina Falk

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A Lightweight Deep Network for Defect Detection of Insert Molding Based on X-ray Imaging by Benwu Wang, Feng Huang

“…Finally, the usability of the proposed method is discussed, including an analysis of the common causes of the missed shots and suggestions for modification. Our proposed method contributes a good reference solution for the inspection of the insert molding process.…”
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Article RETRACTED due to manipulation by the authors Biomechanical Analyses of Scoop in Field Hockey by Ahmad Chaeroni, Ikram Husain, Mottakin Ahmed, Agam Pratap Singh, Md Abu Sayed, Ardo Okilanda, Nurul Ihsan, Padli Padli, Hengki Kumbara, Jeki Haryanto, Mario Febrian

“…Hockey is played with a stick where one requires endurance, agility, balance coordination, and high skill to convert the shot. There are various kinds of skills i.e. hitting, dribbling, scooping, tackling etc. …”
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Single-shot quantitative phase microscopy with color-multiplexed differential phase contrast (cDPC). by Zachary F Phillips, Michael Chen, Laura Waller

“…Our system consists of a commercial brightfield microscope with one hardware modification-an inexpensive 3D printed condenser insert. The method, color-multiplexed Differential Phase Contrast (cDPC), is a single-shot variant of Differential Phase Contrast (DPC), which recovers the phase of a sample from images with asymmetric illumination. …”
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EFFECTIVENESS OF THE APPLICATION OF TACTICAL TRAINING MODELS OF TENNIS PLAYERS IN THE TRADING SHOTS PHASE AND COMPLETION OF THE POINT by F.B. COLIBĂŞANU, G. BRANIŞTE

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A Few-Shot Learning Method for SAR Images Based on Weighted Distance and Feature Fusion by Fei Gao, Jingming Xu, Rongling Lang, Jun Wang, Amir Hussain, Huiyu Zhou

“…The MFFN is constructed by adding a multi-scale feature fusion module (MsFFM) and a hand-crafted feature insertion module (HcFIM) to a standard CNN. The feature extraction and representation capability can be enhanced by inserting the traditional hand-crafted features as auxiliary features. …”
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Adapter-Based Vision Transformer for Cross Domain Few-Shot Classification Using Prototypical Networks by Sahar Gull, Juntae Kim

“…To address this problem, this paper proposes an adapter-based Vision Transformer framework for cross-domain few-shot brain tumor classification. Lightweight adapter modules are inserted into a pretrained Vision Transformer to enable parameter-efficient domain adaptation without fine-tuning the entire backbone. …”
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Single Shot Anchor Refinement Network for Oriented Object Detection in Optical Remote Sensing Imagery by Songze Bao, Xing Zhong, Ruifei Zhu, Xiaonan Zhang, Zhuqiang Li, Mengyang Li

“…To further enhance the performance of one-stage methods, we propose an oriented object detection framework that is based on the single shot detector, namely, single shot anchor refinement network (S²ARN). …”
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Keyword-optimized template insertion for clinical note classification via prompt-based learning by Eugenia Alleva, Isotta Landi, Leslee J. Shaw, Erwin Böttinger, Ipek Ensari, Thomas J. Fuchs

“…This study aims to investigate the impact of template position on model performance and training efficiency in clinical note classification tasks using prompt-based learning, especially in zero- and few-shot settings. Methods We developed a keyword-optimized template insertion method (KOTI) to enhance model performance by strategically placing prompt templates near relevant clinical information within the notes. …”
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Relationships between distribution characteristics of ceramic fragments and anti-penetration performance of ceramic composite bulletproof insert plates by Wen-hao Yu, Wei-ping Li, Yi-fan Shangguan, Xin-yang Ji, Tian Ma, Guo-qing Wu

“…Through quantitative statistics and morphological characterization of ceramic fragments for ceramic composite bulletproof insert plates (CCBIPs), distribution characteristics of ceramic fragments within a specific size range were analyzed for different Armor Piercing Incendiary (API) and shot times. …”
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Single-shot off-axis digital holographic system with extended field-of-view by using multiplexing method by Manoj Kumar, Lavlesh Pensia, Raj Kumar

“…Abstract We propose a new configuration of single-shot off-axis digital holographic system to realize double the camera field-of-view (FOV) of the existing off-axis Mech-Zehnder type holographic setup. …”
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Single-shot wavelength-multiplexed phase microscopy under Gabor regime in a regular microscope embodiment by Vicente Micó, Mikołaj Rogalski, José Ángel Picazo-Bueno, Maciej Trusiak

“…Here, we present a single-shot technique based on wavelength multiplexing for mitigating these two effects. …”
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PLZero: placeholder based approach to generalized zero-shot learning for multi-label recognition in chest radiographs by Chengrong Yang, Qiwen Jin, Fei Du, Jing Guo, Yujue Zhou

“…Abstract By leveraging large-scale image-text paired data for pre-training, the model can efficiently learn the alignment between images and text, significantly advancing the development of zero-shot learning (ZSL) in the field of intelligent medical image analysis. …”
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Phage Display Shot-Gun Cloning of Ligand-Binding Domains of Prokaryotic Receptors Approaches 100% Correct Clones by Karin Jacobsson, Lars Frykberg

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Few‐shot electrical equipment image recognition method based on an improved two‐stage fine‐tuning approach by Junpeng Wu, Jiajun Zeng, Yibo Zhou, Ye Zhang, Yiwen Zhang

“…In the training part, the improved Retinanet network is used for coarse detection and the YOLOv4 network with Convolutional Block Attention Module (CBAM) attentional mechanism module is inserted for fine detection. The experimental results show that the average accuracy of the proposed method under the settings of 5‐shot, 10‐shot, and 30‐shot is 31.6%, 34.3%, and 52.8%, respectively, which greatly improves the ability of electrical equipment identification under the condition of few‐shot.…”
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