[논문 리뷰]

1.[논문 리뷰] InceptionV2/3 - Rethinking the Inception Architecture for Computer Vision (2015)

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2.[논문 리뷰] SPPNet - Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition (2014)

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3.[논문 리뷰] MobileNets - MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications (2017)

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4.[논문 리뷰] Seq2Seq - Sequence to Sequence Learning with Neural Networks (2014)

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5.[논문 리뷰] Attention - Neural Machine Translation by Jointly Learning to Align and Translate (2014)

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6.[논문 리뷰] Transformer - Attention Is All You Need (2017)

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7.[논문 리뷰] ELMo - Deep contextualized word representations (2018)

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8.[논문 리뷰] Faster R-CNN - Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (2015)

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9.[논문 리뷰] U-Net - U-Net: Convolutional Networks for Biomedical Image Segmentation (2015)

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10.[논문 리뷰] YOLO - You Only Look Once: Unified, Real-Time Object Detection (2015)

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11.[논문 리뷰] GPT-1 - Improving Language Understanding by Generative Pre-Training (2018)

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12.[논문 리뷰] BERT - BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding(2018)

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13.[논문 리뷰] RoBERTa - RoBERTa: ARobustly Optimized BERT Pretraining Approach(2019)

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14.[논문 리뷰] RetinaNet - Focal Loss for Dense Object Detection(2017)

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15.[논문 리뷰] EfficientNet - EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2019)

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16.[논문 리뷰] XLNet - XLNet: Generalized Autoregressive Pretraining for Language Understanding (2019)

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17.[논문 리뷰] Mask R-CNN - Mask R-CNN (2017)

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18.[논문 리뷰] BART - BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension (2019)

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19.[논문 리뷰] Grad-CAM - Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization (2017)

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20.[논문 리뷰] ViT - An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (2021)

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21.[논문 리뷰] DETR - End-to-End Object Detection with Transformers (2020)

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22.[논문 리뷰] DINO - Emerging Properties in Self-Supervised Vision Transformers (2021)

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23.[논문 리뷰] Stable Diffusion - High-Resolution Image Synthesis with Latent Diffusion Models(2022)

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24.[논문 리뷰] 자율주행 시스템의 SOTIF 확보를 위한 STPA 안전 분석 및 V & V 방법론

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25.[논문 리뷰] CAM - Learning Deep Features for Discriminative Localization (2016)

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26.[논문 리뷰] LIME - "Why Should I Trust You?": Explaining the Predictions of Any Classifier(2016)

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27.[논문 리뷰] Integrated Gradients - Axiomatic Attribution for Deep Networks(2017)

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28.[논문 리뷰] SHAP - A Unified Approach to Interpreting Model Predictions(2017)

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29.[논문 리뷰] Grad-CAM++ - Improved Visual Explanations for Deep Convolutional Networks(2018)

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30.[논문 리뷰] RISE - RISE: Randomized Input Sampling for Explanation of Black-box Models(2018)

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31.[논문 리뷰] Anchors - Anchors: High-Precision Model-Agnostic Explanations(2018)

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32.[논문 리뷰] Score-CAM - Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks(2020)

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