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  "author": "D. Ferman",
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  "defined_in": "https://doi.org/10.48550/arXiv.2104.04055",
            
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  "doi": "10.57702/zn7km0q5",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "G. Bharaj",
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      "extra_author": "G. Bharaj",
            
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      "name": "image-translation",
            
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      "title": "Image Translation"
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      "title": "Image Translation"
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Landmark Detection",
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      "image_display_url": "",
            
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      "name": "landmark-detection",
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      "name": "landmark-detection",
            
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      "title": "Landmark Detection"
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      "title": "Landmark Detection"
            
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  "name": "generative-landmarks",
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  "name": "generative-landmarks",
            
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  "notes": "The proposed method is capable of learning landmarks for 
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  "notes": "The proposed method is capable of learning landmarks for 
            
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various body regions, including faces and hands. The training set 
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various body regions, including faces and hands. The training set 
            
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consists of roughly 18k frames (about 10 minutes each) for each domain 
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consists of roughly 18k frames (about 10 minutes each) for each domain 
            
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\u2013 marked and unmarked, scaled down to resolution 128 \u00d7 
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\u2013 marked and unmarked, scaled down to resolution 128 \u00d7 
            
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128.",
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      "name": "Landmark Detection",
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      "name": "Landmark Detection",
            
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  "title": "Generative Landmarks",
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  "version": ""
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  "version": ""
            
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}
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}