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        <title>Loss-function Tag - Viblo</title>
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            <title><![CDATA[[Paper Explain] Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection]]></title>
                        <link>https://viblo.asia/p/paper-explain-generalized-focal-loss-v2-learning-reliable-localization-quality-estimation-for-dense-object-detection-m68Z0B4d5kG</link>
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            <description><![CDATA[Một số kiến thức cần biết
Mình khuyến khích mọi người trước khi đọc bài này thì nên đọc về Generalized Focal Loss hoặc bài phân tích về Generalized Fo...]]></description>
                        <dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Nguyen Mai</dc:creator>
            <pubDate>2022-05-04 13:53:49</pubDate>
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            <title><![CDATA[[Paper Explain] Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection]]></title>
                        <link>https://viblo.asia/p/paper-explain-generalized-focal-loss-learning-qualified-and-distributed-bounding-boxes-for-dense-object-detection-bWrZnAwmKxw</link>
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            <description><![CDATA[Khái niệm cần biết
- Dense Object Detector: Một mạng Object Detection thực hiện lấy mẫu các vị trí có khả năng tồn tại Object trong ảnh một cách cực d...]]></description>
                        <dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Nguyen Mai</dc:creator>
            <pubDate>2022-04-12 13:39:03</pubDate>
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            <title><![CDATA[[Paper Explaination] A survey of loss functions for semantic segmentation]]></title>
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Ngày nay, Image Segmentation đã trở thành 1 lĩnh vực nghiên cứu t...]]></description>
                        <dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chung Pham Van</dc:creator>
            <pubDate>2021-09-19 00:18:38</pubDate>
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            <title><![CDATA[[Paper explained] Some Face Recognition Approaches: Facenet, ArcFace, CosFace]]></title>
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            <description><![CDATA[Các kiến thức trong bài viết hôm nay bao gồm:
* Core idea của bài toán Face Recognition
* FaceNet with Triplet Loss
* CosFace
* ArcFace

1. Bài toán F...]]></description>
                        <dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Nguyen Thanh Huyen</dc:creator>
            <pubDate>2021-08-16 07:45:15</pubDate>
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            <title><![CDATA[Một số hàm mất mát sử dụng cho Object Detection]]></title>
                        <link>https://viblo.asia/p/mot-so-ham-mat-mat-su-dung-cho-object-detection-ByEZkoMyZQ0</link>
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            <description><![CDATA[Object Detection hay phát hiện đối tượng là một trong các tác vụ chính được quan tâm nhiều nhất của thị giác máy, thường hướng tới việc phát hiện các ...]]></description>
                        <dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Trần Đức Trung</dc:creator>
            <pubDate>2021-05-21 17:22:21</pubDate>
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