A fully convoluted neural network structure applied to target detection simultaneously satisfying all the above constraints. In our network, using convolution layer is not only used to extract characteristic figure, but also as the output layer to compute bounding box (bounding box) and the classification probability. The detection pipeline in our model contains only a forward path of a neural network, so it runs extremely quickly. Our model is fully convoluted, so small model sizes and high energy efficiency can be achieved. The experimental results show that our model can achieve high precision, and achieve the highest accuracy on the KITTI benchmark.

Filename	Size	Update
squeezeDet-master	0	2017-11-23
squeezeDet-master\.gitignore	38	2017-11-23
squeezeDet-master\LICENSE	1314	2017-11-23
squeezeDet-master\README.md	6844	2017-11-23
squeezeDet-master\README	0	2017-11-23
squeezeDet-master\README\det_img.png	519970	2017-11-23
squeezeDet-master\README\detection_analysis.png	112921	2017-11-23
squeezeDet-master\README\graph.png	105213	2017-11-23
squeezeDet-master\README\out_sample.png	859678	2017-11-23
squeezeDet-master\data	0	2017-11-23
squeezeDet-master\data\random_split_train_val.py	667	2017-11-23
squeezeDet-master\data\sample.png	878179	2017-11-23
squeezeDet-master\requirements.txt	102	2017-11-23
squeezeDet-master\scripts	0	2017-11-23
squeezeDet-master\scripts\eval.sh	1677	2017-11-23
squeezeDet-master\scripts\train.sh	1841	2017-11-23
squeezeDet-master\src	0	2017-11-23
squeezeDet-master\src\__init__.py	53	2017-11-23
squeezeDet-master\src\config	0	2017-11-23
squeezeDet-master\src\config\__init__.py	278	2017-11-23
squeezeDet-master\src\config\config.py	3683	2017-11-23
squeezeDet-master\src\config\kitti_model_config.py	2264	2017-11-23
squeezeDet-master\src\config\kitti_res50_config.py	2023	2017-11-23
squeezeDet-master\src\config\kitti_squeezeDetPlus_config.py	2032	2017-11-23
squeezeDet-master\src\config\kitti_squeezeDet_config.py	2028	2017-11-23
squeezeDet-master\src\config\kitti_vgg16_config.py	2022	2017-11-23
squeezeDet-master\src\dataset	0	2017-11-23
squeezeDet-master\src\dataset\__init__.py	58	2017-11-23
squeezeDet-master\src\dataset\imdb.py	9980	2017-11-23
squeezeDet-master\src\dataset\kitti-eval	0	2017-11-23
squeezeDet-master\src\dataset\kitti-eval\Makefile	123	2017-11-23
squeezeDet-master\src\dataset\kitti-eval\cpp	0	2017-11-23
squeezeDet-master\src\dataset\kitti-eval\cpp\.gitignore	16	2017-11-23
squeezeDet-master\src\dataset\kitti-eval\cpp\evaluate_object.cpp	30486	2017-11-23
squeezeDet-master\src\dataset\kitti-eval\cpp\mail.h	811	2017-11-23
squeezeDet-master\src\dataset\kitti.py	10284	2017-11-23
squeezeDet-master\src\dataset\pascal_voc.py	4989	2017-11-23
squeezeDet-master\src\dataset\voc_eval.py	7109	2017-11-23
squeezeDet-master\src\demo.py	7529	2017-11-23
squeezeDet-master\src\eval.py	9137	2017-11-23
squeezeDet-master\src\nets	0	2017-11-23
squeezeDet-master\src\nets\__init__.py	160	2017-11-23
squeezeDet-master\src\nets\resnet50_convDet.py	6837	2017-11-23
squeezeDet-master\src\nets\squeezeDet.py	3765	2017-11-23
squeezeDet-master\src\nets\squeezeDetPlus.py	3782	2017-11-23
squeezeDet-master\src\nets\vgg16_convDet.py	3184	2017-11-23
squeezeDet-master\src\nn_skeleton.py	27924	2017-11-23
squeezeDet-master\src\train.py	12515	2017-11-23
squeezeDet-master\src\utils	0	2017-11-23
squeezeDet-master\src\utils\__init__.py	53	2017-11-23
squeezeDet-master\src\utils\caffemodel2pkl.py	1069	2017-11-23
squeezeDet-master\src\utils\util.py	6506	2017-11-23

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．