Hi there
is anyone know the course on RCNN and Faster RCNN?
Because I want to learn, please.
https://pseudo-lab.github.io/Tutorial-Book-en/chapters/en/object-detection/Ch1-Object-Detection.html
Thank you
Previously I published research in the super-resolution. If I use super-resolution on the data as a preprocessing step then object detection will improve efficiency?
BeforeI could answer to your question, could you share with me your research about super-resolution? Because I am not yet familiar with this concept.
My research will be online in September 2021, but it is similar to https://ieeeaccess.ieee.org/featured-articles/breastcancer_superresolution_gan/
'/%3e%3cpath fill='%23c09300' stroke-width='1.074' d='m453.16 315.06 9.613 43.755-3.158 3.155-3.3-2.439-5.451-39.018 2.296 39.018-3.157 4.016-3.157-4.016 2.296-39.018-5.45 39.018-3.303 2.44-3.154-3.156 9.611-43.755h6.314z'/%3e%3cg id='b' fill='none' stroke-linejoin='round' stroke-width='1.27'%3e%3cpath fill='%23fff' stroke-width='1.189' d='m428.48 295.84-19.08 67.705 26.255 4.018 11.188-50.924-18.363-20.8z'/%3e%3cpath d='m422.17 318.94 2.296 5.593 12.405-11.848'/%3e%3cpath d='m430.76 304.92 2.596 24.346 7.89-10.328m-3.156 4.012 4.31 14.875m1.69-5.465-8.718 13.241m2.72 13.216-2.791-13.198-2.436-13.423-5.84 7.91-2.562-9.12-8.174 8.385 4.157 15.25 5.738-9.434 3.155 9.612 5.89-9.162'/%3e%3cpath d='m414.99 361.97 5.3-7.444 3.452 11.457 4.735-8.032 3.157 9.614'/%3e%3c/g%3e%3cuse xlink:href='%23b' transform='matrix(-1 0 0 1 900 0)'/%3e%3cg stroke-linecap='round' stroke-linejoin='round' stroke-width='1.27'%3e%3cpath stroke-width='2.378' d='M450 393.81c19.943 0 39.024-1.578 50.213-4.734 4.735-.859 4.735-3.298 4.735-6.455 4.736-1.578 2.295-7.17 5.595-7.17-3.3.862-4.016-5.595-8.033-4.732 0-5.597-5.596-6.313-10.33-4.738-9.47 3.158-26.255 3.875-42.18 3.875-15.924-.717-32.567-.717-42.18-3.875-4.733-1.575-10.326-.859-10.326 4.738-4.018-.863-4.736 5.594-8.034 4.731 3.299 0 .86 5.593 5.594 7.17 0 3.158 0 5.597 4.878 6.456 11.045 3.156 30.128 4.734 50.068 4.734z'/%3e%3cpath d='M422.89 363.54c6.454.861 13.628 1.578 19.225.861 3.153 0 5.45 5.45-.863 6.313-5.593.715-14.345 0-19.08-.862-4.017-.718-12.768-2.295-18.364-3.876-5.594-2.436-1.576-7.168 1.578-6.452 4.879 1.577 11.192 3.157 17.505 4.016zm54.23 0c-6.457.861-13.628 1.578-19.081.861-3.3 0-5.596 5.45.717 6.313 5.596.715 14.347 0 19.078-.862 4.019-.718 12.77-2.295 18.364-3.876 5.597-2.436 1.58-7.168-1.577-6.452-4.878 1.577-11.19 3.157-17.501 4.016z'/%3e%3cpath d='M403.09 360.39c-4.877-.861-7.172 4.732-5.593 7.887.717-1.578 4.017-1.578 4.735-3.155.858-2.437-.718-2.437.858-4.732zm19.08 14.67c0-3.153 3.155-2.765 3.155-5.921 0-1.577-.86-4.018-2.437-4.018-1.579 0-3.158 1.578-3.158 3.156-.718 3.157 2.44 3.63 2.44 6.783zm22.71-9.08c4.73 0 4.262 6.314 1.966 9.47 0-2.295-4.017-3.156-4.017-4.732 0-2.442 3.626-2.442 2.051-4.738zm52.03-5.59c4.878-.861 7.174 4.732 5.595 7.887-.718-1.578-4.017-1.578-4.734-3.155-.86-2.437.718-2.437-.86-4.732zm-19.08 14.67c0-3.153-3.153-2.765-3.153-5.921 0-1.577.86-4.018 2.438-4.018 1.577 0 3.156 1.578 3.156 3.156.718 3.157-2.44 3.63-2.44 6.783zm-22.71-9.08c-4.732 0-4.263 6.314-1.967 9.47 0-2.295 4.015-3.156 4.015-4.732.001-2.442-3.626-2.442-2.048-4.738z'/%3e%3cpath stroke-width='.891' d='M404.67 361.97c1.58 0 4.018.718 4.735 1.577l-4.74-1.58zm7.88 2.44c.862 0 4.018.716 5.596 1.575l-5.6-1.58zm28.7 3.15c-1.578 0-4.734 0-5.593.715l5.59-.72zm-8.75 0c-.859-.862-4.016-.862-5.593 0h5.59zm62.84-5.59c-1.578 0-3.875.718-4.735 1.577l4.735-1.577zm-7.89 2.44c-.86 0-4.017.716-5.595 1.575l5.6-1.58zm-28.7 3.15c1.58 0 4.735 0 5.595.715l-5.6-.72zm8.75 0c.86-.862 4.018-.862 5.595 0h-5.6z'/%3e%3cg fill='%23c09300' stroke='none'%3e%3cpath d='M403.34 374.58c-.534-.102-.815-.525-.68-1.025.164-.609.651-.957 1.112-.794.294.104.83.645.832.839.003.222-.28.752-.402.754-.053 0-.135.046-.182.102-.1.118-.413.175-.68.124zm54.93 3.92c-.199-.074-.515-.518-.515-.724.002-.387.574-1.018.929-1.021.175-.001.655.248.834.434.325.338.254.893-.154 1.208-.201.155-.8.212-1.094.103zm.36 2.48c-.42-.142-.574-.348-.608-.814-.036-.485.012-.56.525-.84l.365-.2.347.155c.48.214.693.445.71.767.018.348-.24.704-.64.883-.352.158-.373.16-.699.05z'/%3e%3cpath d='M407.75 370.09c-.346-.01-.821.307-1.094.469-.649.152-1.404.55-2.031.125-.617-.191-1.438-.04-1.531.718.158.652 1.071 1.025 1.625.594.41-.537 1.531-.853 1.656.063-.457.692-.405 1.609-.781 2.344-.061.457-.252.892-.5 1.28-.462.047-.954-.007-1.344.282-.626.034-1.265.345-1.625.875-.403.578-.789 1.165-.906 1.875.107.725.937.933 1.562.969.667.183 1.335.424 2 .625 1.086.243 2.102.635 3.188.875 1.584.477 3.248.697 4.844 1.125.167.055.324.104.5.125.662.137 1.007-.583 1.062-1.125.329-1.16.58-2.34.906-3.5.225-.466.497-1.517-.406-1.281-.515.308-.952.773-1.594.812-.874.05-.375.945-.031 1.313.076.587-.11 1.288-.5 1.75-.52.33-1.172-.057-1.719-.188-.574.01-1.723-.283-1.187-1.062.19-.577.207-1.209.437-1.782.294-.614.336-1.285.469-1.937-.361-.777-.979.256-1.469.344-.338.234-1.605.334-.937.937.575.437.134 1.197.03 1.75-.036.77-.837.954-1.468.781-.628-.03-1.501-.497-.969-1.187.121-.575.322-1.14.438-1.719.237-.698.437-1.363.687-2.062a5.78 5.78 0 0 1 .625-1.75c.018-.686.478-1.276.47-1.97-.048-.338-.2-.461-.407-.468zm-3.594 7.25a.353.353 0 0 1 .219.031c.25.106.257.31 0 .531-.112.097-.24.191-.281.188-.468-.04-.606-.11-.625-.281-.017-.151.03-.195.343-.344a1.45 1.45 0 0 1 .344-.125zm-1.036 5.02c-.496-.466-.416-.806.317-1.353.314-.234.505-.208.863.12.553.504.575.823.087 1.255-.24.213-.346.257-.627.26-.293.003-.376-.034-.64-.282zm3.05.92a.86.86 0 0 1-.623-1.088c.129-.434.203-.477.84-.483.716-.007.854.112.861.741.004.355-.023.437-.2.6-.207.193-.605.297-.878.23zm89.11.08c-.227-.189-.273-.274-.275-.515-.003-.41.233-.712.746-.944.682-.308.96-.266 1.216.186.342.601.325.847-.084 1.252-.225.224-.268.237-.785.242-.507.003-.565-.01-.818-.221zm-85.06 1.15c-.364-.097-.552-.37-.557-.807-.004-.334.02-.387.253-.57.152-.118.39-.22.579-.245.267-.037.364-.013.58.138.55.387.667.77.348 1.14-.34.397-.662.488-1.203.344zm21.92.98c-.08-.1-.26-.16-.278-.287.032-.555.059-1.117.236-1.648.096-.523.012-1.07.194-1.579.187-.927.187-1.882.402-2.803.01-.475.055-.95.193-1.406.157-.722.013-1.476.226-2.19-.023-.267.285-.983.556-.559.394.577.912 1.045 1.421 1.516.438.252.036.624-.266.75-.416.163-.517.62-.487 1.022-.058.414-.225.806-.242 1.23-.087.622-.07 1.254-.151 1.876-.182.609-.113 1.26-.173 1.888.008.398-.182.76-.156 1.16-.048.406-.066.894-.407 1.172-.329.166-.804.138-1.068-.142zm29.7-9.8c-.482.365-.914.795-1.344 1.219-.592.449.487.71.625 1.094.157.586.148 1.21.188 1.812.179.552.258 1.138.218 1.719-.051.622-.863.491-1.218.844-.492.207-.688.69-1.063 1.03-.246.484-.312 1.077-.344 1.626.036.448-.302.95 0 1.344.04.055.086.132.125.187.102.145.343.03.5.063.504-.029 1.029.047 1.5-.157 1.21-.209 2.432-.226 3.657-.28.749.023 1.47-.238 2.218-.22.587.13.851-.506.844-.968-.332-.654-.045-1.429-.312-2.094-.235-.673-.143-1.428-.25-2.125-.015-.549-.711-.752-1.063-.344-.341.345-.893.414-1.156.844-.297.602.627.603.781 1.062.176.465.118.98.156 1.47.115.592-.529.625-.937.687-.537.2-1.29.336-1.594-.313-.19-.48-.165-.993-.219-1.5-.013-.892-.227-1.768-.28-2.656-.052-1.097-.242-2.187-.313-3.281-.01-.456-.071-1.198-.72-1.063zm-.625 8.25.313.031.03.375.032.375-.406.125a3.28 3.28 0 0 1-.407.094 2.55 2.55 0 0 1-.187-.125c-.22-.159-.164-.385.125-.688.163-.17.239-.203.5-.187zm-29.965-9.28c-.38.135-.862.693-1.25.688-.88.062-.757.919-.125 1.218.083.26.005.588.031.875.123.79-.375 1.425-.281 2.22-.044.87-.307 1.717-.344 2.593-.247.903-.25 1.832-.406 2.75-.104.823-.7.533-1.219.312-.004-.356-.027-.705-.031-1.062.216-.817-.441-1.056-1.094-1.156-.686.065-1.023-.523-.875-1.125.295-.351 1.036-.254 1.5-.313.981.204.942-1.112.438-1.562-.345-.636-1.199-.91-1.438-1.563.096-.866-.48-1.732-1.187-2.156-1.089-.076-1.91.863-2.313 1.781-.452.131-.904.267-1.344.438-.709.177-1.72 1.407-.75 1.875.545.15 2.2.528 1.47 1.28-.413.708-1.202.72-1.907.532-.724 0-1.53-.352-1.5-1.187-.148-.75-.123-1.558-.469-2.25-.148-.84-1.1-.643-1.156.125-.733.534-.636 1.397-.125 2.03.319.73.003 1.578-.313 2.25-.19.876-1.155.906-1.843 1.188-.338.131-1.629-.078-1.156.657.753.265 1.652.505 2.437.312.823-.102 1.538-.665 1.938-1.375.552-.56 1.502-.267 2.218-.281.773-.002 1.563.542 2.313.187.217-.564 1.222-1.495 1.531-.53-.053.862.71 1.325 1.5 1.218.864-.05.544.61.531 1.125.057.934.66 1.425 1.438 1.812.265.072.545.048.812 0 .748-.235 1.554-.568 1.781-1.406.304-.68.311-1.45.532-2.156.177-1.13.406-2.26.437-3.406.276-1.039.197-2.136.406-3.188.133-.782.231-1.563.313-2.344-.092-.417-.272-.487-.5-.406zm-6.781 4.156c.151.019.235.204.25.531.016.365.206.661.437.72.183.045.167.238-.03.374-.116.08-.322.127-.688.125-.578-.003-.937-.153-1.25-.469l-.188-.187.281-.188c.142-.108.399-.332.563-.5.285-.29.473-.424.625-.406zm66.031-7.876a8.365 8.365 0 0 0-1.656.25c-1.04-.065-1.563 1.027-.563 1.563.602 1.534 1.54-.317 2.5-.188 1.438.28 1.56 1.832 1.781 3 .081 1.157.415 2.282.75 3.375.963 1.07-.72 1.74-1.437.906-.611-.664-1.92-1.48-2.656-.562-.904.382-.94 1.59-1.688 1.937-1.209.368-1.361-1.119-2-1.75-.587-.824-1.71-.896-2.625-1.187-.429-.869-.205-2.346-1.094-2.938-.745.304-2.113 1.702-.968 2.344 1.117.96-.488 1.401-1 2.063-.732.814-.849 1.936-.969 2.968-1.26.696-1.504-.787-1.656-1.718-.098-1.112-1.036-.786-1.688-.375-.952.385-1.428 1.29-2.094 2-.08.647.038 1.356.032 2.03.216.812 1.202.431 1.812.376.979-.41 1.38.627.594 1.219-.532.676-2.22.322-2.063 1.406.544.063 1.111.043 1.657 0 1.09-.298 2.261-1.068 2.375-2.281.143-1.059 1.667-.866 2.5-1.094 1.04-.3 2.294-.377 2.53.937.71.745 2.25 1.584 3.032.563.795-.485 1.176-1.338 1.125-2.25-.162-.785 1.269-.813 1.625-.375.521.858 2.151.605 2.938.125.836-.617 1.017-1.705 2.218-1.719 1.783-.534 3.635-.841 5.375-1.5 1.41-.307-.21-1.198-.562-1.719-1.074-.53-2.008 1.642-3.219.563-.936-.716-.872-2.077-1.219-3.125-.237-1.358-.177-2.923-1.156-4-.672-.715-1.586-.887-2.531-.844zm-6.813 9.469c.126-.003.268.06.5.187.439.242.751.643.75.969 0 .213-.054.227-.375.375-.197.091-.42.189-.5.188-.18-.002-.624-.357-.625-.5 0-.06-.058-.287-.125-.47-.117-.32-.099-.316.063-.53.103-.138.187-.216.313-.22zm6.532.344c.372-.025.593.091.75.375.181.329.058.58-.407.78-.203.089-.407.16-.437.157-.03-.003-.198-.102-.375-.219-.27-.177-.31-.264-.313-.468-.003-.316.35-.597.782-.625zm-8.938.093c.11-.017.209.04.344.156.18.155.237.28.281.594a2.23 2.23 0 0 1 0 .625c-.048.226-.053.216-.562.219-.64.006-.7-.064-.688-.656.008-.377.012-.478.219-.688.16-.162.297-.233.406-.25zm-5.5 1.438a.57.57 0 0 1 .438.437c.065.318.008.462-.25.594-.222.113-.734.15-.875.063a.613.613 0 0 1-.188-.188c-.068-.121-.055-.18.031-.25.06-.05.126-.12.125-.156 0-.037.068-.163.157-.281a.543.543 0 0 1 .562-.22zm9.25 1.187a.651.651 0 0 1 .438.156c.185.163.179.4-.031.563-.136.104-.872.095-1.125 0-.113-.042-.156-.099-.157-.219-.002-.14.038-.227.281-.344.205-.097.416-.155.594-.156zm-17.171 4.819c-.096-.063-.238-.117-.095-.222.173-.302.518-.407.825-.52a3.436 3.436 0 0 0 1.373-1.118c.05-.333.424-.513.422-.861.003-.475.032-.962-.084-1.426-.129-.426-.452-.752-.827-.974-.256-.202-.674-.258-.768-.614-.053-.343.253-.604.36-.91.223-.421.411-.863.651-1.275.26-.288.659-.015.793.263.19.277.357.576.45.897.303.332.571.721.68 1.162.148.31.383.602.369.966 0 .416.235.787.22 1.206.014.56.013 1.145-.191 1.674-.14.294-.421.47-.607.733-.319.295-.67.579-1.08.736-.289.092-.457.426-.819.345-.514.009-1.037.079-1.547-.004.032.054-.156-.092-.125-.058zm-6.85.45c-.243-.25-.295-.355-.298-.6-.003-.248.045-.346.282-.586.439-.443.653-.453 1.41-.07.722.365.967.399 1.032.14.062-.25.478-.48.874-.481a.82.82 0 0 1 .592.203c.251.196.263.227.27.68.004.463-.002.48-.29.736-.278.244-.323.259-.666.224-.437-.043-.7-.244-.77-.588-.052-.25-.14-.31-.206-.14-.021.055-.129.122-.239.15-.204.051-.549.268-.794.5-.093.087-.255.128-.519.131-.355.003-.405-.018-.678-.299zm-19.82-8.9c-.665.007-1.38.566-1.469 1.219.152.752.777 1.49.375 2.281.278 1.013-.761 1.397-1.469.813-.427-.972-.643-2.036-1.28-2.907-.805-.227-1.155 1.057-1.72 1.5.28.755 1.096 1.433 1.188 2.375.195.915-.361 1.93-1.156 2.406-.686.655-1.626.421-2.47.563-1.023.599.753.818 1.22.844 1.047.106 2.135-.032 2.906-.813.769-.367.71-1.697 1.625-1.844 1.588-.07 3.163.244 4.75.282.85.203 2.163-.101 2.75.53.002 1.108.94 1.791 1.844 2.22.498.138 1.024-.48 1.53-.594.966-.308.673-1.502 1.25-1.969 1.651-.09 3.317-.07 4.97-.093.314.007.407-.44.625-.626-.037-.638-.06-1.272-.157-1.906-.318-.806.052-1.844-.53-2.53-.83-.227-1.537.533-2.376.593-.926.412-1.706 1.268-1.75 2.312-.548.897-1.427-.16-1.125-.906-.034-.325.07-.704-.031-1-.507-.608-1.395-.41-2.094-.5-1.018.04-2.012-.18-3.031-.156-.893-.068-1.822.078-2.688-.156-1.031-.03-.89-1.039-1.062-1.75a1.018 1.018 0 0 0-.625-.188zm2 3.688c.343.006.667.051 1 .093.43.071.89-.148 1.313 0 .976.166 1.953.127 2.937.219.26-.004.446.185.625.344.002.683 0 1.379 0 2.062-.03.258.076.598-.156.781a.7.7 0 0 1-.25.125c-.27-.07-.558-.247-.688-.5-.041-.357.018-.704.031-1.062-.007-.093.04-.237 0-.313a1.248 1.248 0 0 0-.718-.25c-.85-.029-1.682-.091-2.531-.125-.707-.044-1.434.06-2.125-.125-.269-.097-.618-.064-.782-.343-.234-.273.104-.597.344-.72a2.28 2.28 0 0 1 1-.187zm11.281.25c.159-.003.21.05.281.343.046.188.1.417.125.5.037.118-.022.156-.187.219-.494.186-.986.168-1.156-.063-.078-.104.012-.434.156-.562.29-.259.61-.437.781-.438z'/%3e%3c/g%3e%3c/g%3e%3cpath stroke-width='1.15' d='M449.98 327.23c32.642-25.106 29.843-61.883 29.843-61.883a12.72 12.72 0 0 1-2.54.258c-6.848 0-23.179-3.917-26.989-8.892-4.081 4.503-20.77 8.892-27.574 8.892-.861 0-1.722-.086-2.54-.258 0 0-2.843 36.776 29.8 61.883z'/%3e%3cpath stroke-width='.916' d='M477.22 268.04a13.55 13.55 0 0 1-.848.026c-6.205 0-20.619-3.183-26.175-7.957-5.82 4.41-20.47 7.957-26.576 7.957a4.7 4.7 0 0 1-.85-.086c-.014 1.39.059 2.832.145 4.144.323 4.9 1.183 9.819 2.488 14.552 4.108 14.895 12.516 27.553 24.572 37.155 12.066-9.61 20.484-22.28 24.6-37.186 1.308-4.732 2.17-9.65 2.496-14.55.086-1.285.157-2.692.148-4.055z'/%3e%3cpath fill='%23c09300' stroke='none' d='M439.38 265.03c-5.872 1.845-12.229 3.031-15.75 3.031a4.7 4.7 0 0 1-.844-.093c-.014 1.39.07 2.845.156 4.156a72.77 72.77 0 0 0 2.47 14.53c2.764 10.026 7.506 19.033 13.968 26.782V265.03zm20.62-.09v49.25c6.794-7.921 11.733-17.206 14.594-27.562a72.952 72.952 0 0 0 2.469-14.531c.085-1.284.166-2.7.156-4.063-.28.018-.56.032-.844.032-3.73 0-10.42-1.17-16.375-3.125z'/%3e%3cg stroke-width='1.27'%3e%3cpath stroke-width='1.218' d='M462.31 253.09c.667.04-.902-3.568-.902-3.568 1.765 1.804 8.43 2.235 8.43 2.235-4-1.766-7.998-15.096-7.528-25.721.432-10.664-1.528-14.86-3.097-16.428-2-2-8.43-3.764-12.664-4-2.392-.117-2 1.804-2 1.804-4.43-1.137-8.86-1.568-10.86-.235-1.883 1.255-2.275 7.528-.902 6.43 3.332-2.666 6.234-.235 8.233 2.666 1.764 2.549 1.647 9.763-.902 18.192-2.666 8.861-9.959 17.722-9.959 17.722 3.96 0 9.528-3.528 9.528-3.528l-1.333 5.528c4.195-2 7.528-5.097 7.528-5.097l3.999 4.195c1.333-1.764 4-4.195 4-4.195s3.332 3.529 8.429 4z'/%3e%3cpath fill='none' d='M446.12 227.57s-2.235 16.428-6.43 21.094m9.96-21.524s-.863 16.623-3.764 21.956m6.894-21.286s0 18.192 1.098 21.289m2.862-20.389s.902 15.291 4.666 20.819'/%3e%3cpath fill='%23c09300' stroke-width='.354' d='M442.08 219.61c-.196-1.45-.549-2.588-1.059-3.333-2-2.901-4.9-5.332-8.233-2.666 0 0 1.137-3.529 3.568-3.646 1.882-.118 6.155 1.411 9.92 7.841 0 0-2.784-.627-3.45-.039-1.256 1.098-.746 1.843-.746 1.843z'/%3e%3cpath fill='%23c09300' stroke-width='.354' d='M432.44 209.26c.274-.902.706-1.725 1.255-2.078 2-1.333 6.43-.902 10.86.235 0 0-.392-1.921 2-1.803 4.234.235 10.664 2 12.663 3.999.47.51 1.02 1.255 1.49 2.391h-.078c-.98-1.372-3.764-1.293-4.431-1.215-1.059.118-1.725.078-3.137.431-.666.157-1.686.353-2.235.784-.43.353-.784 1.647-1.45 1.647-1.059 0-.98-.274-1.255-.588-.353-.431-.549-1.059-.902-1.02-1.097.197-2.862-.666-5.096-2.43-2.235-1.765-3.098-2.196-5.999-2-2.862.235-3.764 1.843-3.764 1.843l.079-.196z'/%3e%3ccircle cx='448.824' cy='210.672' r='1.176' stroke='none'/%3e%3c/g%3e%3c/g%3e%3c/svg%3e){kind=small}
https://pseudo-lab.github.io/Tutorial-Book-en/chapters/en/object-detection/Ch1-Object-Detection.html
Thank you
Previously I published research in the super-resolution. If I use super-resolution on the data as a preprocessing step then object detection will improve efficiency?
BeforeI could answer to your question, could you share with me your research about super-resolution? Because I am not yet familiar with this concept.
My research will be online in September 2021, but it is similar to https://ieeeaccess.ieee.org/featured-articles/breastcancer_superresolution_gan/