License Plate Detection & Car Pose Estimation

An Anchor-Free Object Detector with Contextual Information for License Plate Detection

License plate detection & Car pose estimation

For Python 2.7 View project on GitHub

Appendix

Appendix A

Full learning state of the proposed model (until 670k iterations).

FigureA.1

Figure A.1. mAP to iteration on CD-HARD dataset.

FigureA.2

Figure A.2. mAP75 to iteration on CD-HARD dataset.

Appendix B

Learning states of different backbone networks until 300k iterations. FigureB.1

Figure B.1. Backbone: 2-stack Hourglass, mAP to iteration on CD-HARD dataset.

FigureB.2

Figure B.2. Backbone: 1-stack Hourglass, mAP to iteration on CD-HARD dataset.

FigureB.3

Figure B.3. Backbone: WPOD-NET [2], mAP to iteration on CD-HARD dataset.

FigureB.4

Figure B.4. Backbone: 2-stack Hourglass, mAP50 to iteration on CD-HARD dataset.

FigureB.5

Figure B.5. Backbone: 1-stack Hourglass, mAP50 to iteration on CD-HARD dataset.

FigureB.6

Figure B.6. Backbone: WPOD-NET [2], mAP50 to iteration on CD-HARD dataset.