{ "request": { "method": "GET", "url": "https://ieeexploreapi.ieee.org/api/v1/search/articles", "description": "Search for articles about deep learning in computer vision, limited to journal publications, sorted by publication year descending, returning up to 5 records.", "parameters": { "querytext": "deep learning computer vision", "content_type": "Journals", "start_date": "20200101", "end_date": "20241231", "max_records": 5, "sort_field": "article_number", "sort_order": "desc", "start_record": 1, "apikey": "YOUR_API_KEY_HERE" }, "curlExample": "curl -G 'https://ieeexploreapi.ieee.org/api/v1/search/articles' --data-urlencode 'querytext=deep learning computer vision' -d 'content_type=Journals&start_date=20200101&end_date=20241231&max_records=5&sort_order=desc&apikey=YOUR_API_KEY_HERE'" }, "response": { "status": 200, "headers": { "Content-Type": "application/json" }, "body": { "total_records": 3847, "total_searched": 6100000, "articles": [ { "article_number": "9852847", "title": "Transformer-Based Deep Learning for Real-Time Object Detection in Autonomous Vehicles", "abstract": "This paper proposes a novel transformer-based architecture for real-time object detection applicable to autonomous driving scenarios. Our method achieves state-of-the-art performance on the KITTI and nuScenes benchmarks while maintaining inference speeds suitable for deployment on embedded hardware.", "doi": "10.1109/TIV.2022.3194782", "authors": { "authors": [ { "full_name": "Chen, Liwei", "author_order": 1, "affiliation": "Tsinghua University", "author_url": "https://ieeexplore.ieee.org/author/38267491" }, { "full_name": "Park, Sungjin", "author_order": 2, "affiliation": "KAIST", "author_url": "https://ieeexplore.ieee.org/author/29847123" } ] }, "publication_title": "IEEE Transactions on Intelligent Vehicles", "publication_year": 2022, "publication_date": "June 2022", "volume": "7", "issue": "3", "start_page": "612", "end_page": "625", "content_type": "Journals", "issn": "2379-8858", "access_type": "Locked", "is_open_access": false, "publisher": "IEEE", "citing_paper_count": 142, "citing_patent_count": 3, "author_terms": [ "object detection", "transformer architecture", "autonomous driving", "real-time inference" ], "ieee_terms": [ "Object detection", "Autonomous vehicles", "Deep learning", "Transformers", "Computer vision" ], "pdf_url": "https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9852847", "html_url": "https://ieeexplore.ieee.org/document/9852847", "abstract_url": "https://ieeexplore.ieee.org/document/9852847", "rank": 1, "insert_date": "20220715" }, { "article_number": "9734651", "title": "Self-Supervised Learning for Medical Image Segmentation via Deep Convolutional Networks", "abstract": "We present a self-supervised pre-training strategy for medical image segmentation that requires minimal labeled data. The approach leverages contrastive learning on unlabeled CT and MRI scans before fine-tuning on small annotated datasets, achieving competitive results against fully supervised baselines.", "doi": "10.1109/TMI.2022.3161804", "authors": { "authors": [ { "full_name": "Nguyen, Anh Tuan", "author_order": 1, "affiliation": "Johns Hopkins University", "author_url": "https://ieeexplore.ieee.org/author/37088943" } ] }, "publication_title": "IEEE Transactions on Medical Imaging", "publication_year": 2022, "publication_date": "May 2022", "volume": "41", "issue": "5", "start_page": "1203", "end_page": "1218", "content_type": "Journals", "issn": "0278-0062", "access_type": "Open Access", "is_open_access": true, "publisher": "IEEE", "citing_paper_count": 89, "citing_patent_count": 0, "author_terms": [ "self-supervised learning", "medical image segmentation", "contrastive learning", "transfer learning" ], "ieee_terms": [ "Image segmentation", "Medical imaging", "Deep learning", "Self-supervised learning", "Convolutional neural networks" ], "pdf_url": "https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9734651", "html_url": "https://ieeexplore.ieee.org/document/9734651", "abstract_url": "https://ieeexplore.ieee.org/document/9734651", "rank": 2, "insert_date": "20220510" } ] } } }