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json_data/adversarial_learning_adversarial_attack_defense_methods.json
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[ | ||
{ | ||
"title": "GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-Ray Classification", | ||
"base_url": "https://openaccess.thecvf.com/content/WACV2024", | ||
"title_page": "/html/Wang_GazeGNN_A_Gaze-Guided_Graph_Neural_Network_for_Chest_X-Ray_Classification_WACV_2024_paper.html", | ||
"repo": "ukaukaaaa/GazeGNN", | ||
"web_page": null, | ||
"github_page": null, | ||
"colab": null, | ||
"modelscope": null, | ||
"gitee": null, | ||
"zenodo": null, | ||
"demo_page": null, | ||
"paper_thecvf": "/papers/Wang_GazeGNN_A_Gaze-Guided_Graph_Neural_Network_for_Chest_X-Ray_Classification_WACV_2024_paper.pdf", | ||
"paper_arxiv_id": "2305.18221", | ||
"paper_pdf": null, | ||
"paper_hal_science": null, | ||
"paper_researchgate": null, | ||
"paper_amazon": null, | ||
"youtube_id": null, | ||
"drive_google": null, | ||
"dropbox": null, | ||
"onedrive": null, | ||
"loom": null, | ||
"section": "Biomedical / Healthcare / Medicine" | ||
} | ||
] |
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