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Object Detection on PASCAL VOC 2012

Architecture
Mindmap ODPV12

Abstract

Object detecting is attracting interest of many researchers and deep learning engineers nowadays because of its wide-spread applications. In our project, we are attempting to apply state-of-the-art models in deep learning these days, including accuracy-impoved models and lightweight models for object detection on VOC-2012 dataset.

Task members

The details of proposed models as well as the tasks of corresponding members in our group are as follow:

  1. Accuracy-improved models:
  • Dao Van Tung: Faster R-CNN
  • Bui Thanh Tung: SSD
  • Pham Vu Huyen Trang: YOLO
  • Le Duc Anh Tuan: DERT
  1. Lightweight model:
  • Nguyen Nho Trung: EfficientDet

Collaborators

Name Student ID Email
Le Duc Anh Tuan 20204929 tuan.lda204929@sis.hust.edu.vn
Nguyen Nho Trung 20204894 trung.nn204894@sis.hust.edu.vn
Bui Thanh Tung 20204931 tung.bt204931@sis.hust.edu.vn
Dao Van Tung 20204932 tung.dv204932@sis.hust.edu.vn
Pham Vu Huyen Trang 20207997 trang.pvh207997@sis.hust.edu.vn

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Deep Learning Project - S3T1, DSAI HUST

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