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딥러닝을 활용한 한글문장 OCR연구 https://stump-rosehip-2a5.notion.site/OCR-06f0f9e5d636469ca06c35303123afd5
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What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis https://stump-rosehip-2a5.notion.site/What-Is-Wrong-With-Scene-Text-Recognition-Model-Comparisons-Dataset-and-Model-Analysis-2aa5e5d99a3d49b993a2cdba5f045705
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Character Region Awareness for Text Detection https://stump-rosehip-2a5.notion.site/Character-Region-Awareness-for-Text-Detection-522666e6b8dd4c4ab8e6a04503ed92c6
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Convolutional Character Networks https://stump-rosehip-2a5.notion.site/Convolutional-Character-Networks-5c5a5d7a956a416f8bf64a038d94839a
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Vision Transformer for Fast and Efficient Scene Text Recognition https://stump-rosehip-2a5.notion.site/Vision-Transformer-for-Fast-and-Efficient-Scene-Text-Recognition-6c726b8773e34acba8eb7d3b97a21473
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Meta Pseudo Labels https://stump-rosehip-2a5.notion.site/Meta-Pseudo-Labels-83e63b552be844198de05d562e0c5fd1
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Self-training with Noisy Student improves ImageNet classification https://stump-rosehip-2a5.notion.site/Self-training-with-Noisy-Student-improves-ImageNet-classification-098e0cbecb794168a0e4a191d85eecac
- SwinIR: Image Restoration Using Swin Transformer https://stump-rosehip-2a5.notion.site/SwinIR-Image-Restoration-Using-Swin-Transformer-4cebb057bc3f4b918f024f538dcb48e3
- DenseNet : ResNet 보다 효율적인 CNN 네트워크 구조 https://stump-rosehip-2a5.notion.site/DenseNet-d253b209d69c419081d333172036775f
- Yolov7 : Yolov7 Yolvo중 제일 최근모델 제일빠르고, 최적화된 네트워크 구조도입 https://stump-rosehip-2a5.notion.site/Yolov7-fa17502f58c4441abef508b9de6c2ed4
- Towards An End-to-End Framework for Flow-Guided Video Inpainting : 비디오 Inpainting https://stump-rosehip-2a5.notion.site/Towards-An-End-to-End-Framework-for-Flow-Guided-Video-Inpainting-78fa9d0f61624eb4b15f2ff01df7541e