Search Results - "Bae, Kyunghoon"
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Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders
Published in Scientific reports (05-10-2024)“…Deep neural networks are increasingly used in medical imaging for tasks such as pathological classification, but they face challenges due to the scarcity of…”
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Journal Article -
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Real-time face detection based on adaptive downsizing and skin filter for HD camera
Published in The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014) (01-06-2014)“…The paper presents a novel face detection scheme that enables real-time processing with low false-alarm rate in HD videos. The proposed method includes an…”
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Conference Proceeding -
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L-Verse: Bidirectional Generation Between Image and Text
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2022)“…Far beyond learning long-range interactions of natural language, transformers are becoming the de-facto standard for many vision tasks with their power and…”
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Conference Proceeding -
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ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection
Published in 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (03-01-2024)“…Anomaly detection is crucial to the advanced identification of product defects such as incorrect parts, misaligned components, and damages in industrial…”
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Conference Proceeding -
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Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders
Published 11-10-2024“…Sci Rep 14, 23199 (2024) Deep neural networks are increasingly used in medical imaging for tasks such as pathological classification, but they face challenges…”
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Journal Article -
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Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks
Published 25-04-2024“…Instruction tuning has been proven effective in enhancing zero-shot generalization across various tasks and in improving the performance of specific tasks. For…”
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Journal Article -
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AutoGuide: Automated Generation and Selection of State-Aware Guidelines for Large Language Model Agents
Published 13-03-2024“…The primary limitation of large language models (LLMs) is their restricted understanding of the world. This poses significant difficulties for LLM-based…”
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Journal Article -
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ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection
Published 26-05-2023“…Anomaly detection is crucial to the advanced identification of product defects such as incorrect parts, misaligned components, and damages in industrial…”
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Journal Article -
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ANNA: Enhanced Language Representation for Question Answering
Published 28-03-2022“…ACL 2022 Workshop RepL4NLP Submission Pre-trained language models have brought significant improvements in performance in a variety of natural language…”
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Journal Article -
10
L-Verse: Bidirectional Generation Between Image and Text
Published 22-11-2021“…Far beyond learning long-range interactions of natural language, transformers are becoming the de-facto standard for many vision tasks with their power and…”
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Journal Article -
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EXAONE 3.0 7.8B Instruction Tuned Language Model
Published 07-08-2024“…We introduce EXAONE 3.0 instruction-tuned language model, the first open model in the family of Large Language Models (LLMs) developed by LG AI Research. Among…”
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Journal Article -
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Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation
Published 01-10-2020“…As an emerging field in Machine Learning, Explainable AI (XAI) has been offering remarkable performance in interpreting the decisions made by Convolutional…”
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Journal Article