AI
推荐
模板社区
专题
登录
免费注册
首页
思维导图
详情
多任务梳理123
2023-10-10 18:09:52
0
举报
分享方式
使用 (¥5)
AI智能生成
mihhh
项目管理
模版推荐
作者其他创作
大纲/内容
EfficientNet-B3
HybridNets: End-to-End Perception Network VT Data NVH Baoa PD Hunga
物体检测
可行驶区域划分
https://github.com/datvuthanh/HybridNets.
BDD100K dataset
车道检测
Resnet101<br>Resnet50<br>VGG pool 5
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
分类<br><br>
检测<br><br>
GitHub - MarvinTeichmann/MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
KITTI
语义分割
ResNet-50
Deep Residual Learning for Image Recognition
检测
无
COCO object detection dataset
CSP-DarkNet<br>(backbone)<br>Neck:特征金字塔
YOLOP: You Only Look Once for Panoptic Driving Perception
物体检测
可行驶区域划分
https://github. com/hustvl/YOLOP
BDD100K dataset
检测
分割
车道线分割
车道检测
VGG16 <br>(backbone)<br>Neck:特征金字塔
DLT-Net: Joint Detection of Drivable Areas, Lane Lines, and Traffic Objects
检测可驾驶区域
检测车道线
无
BDD dataset
可行驶区域
物体检测
检测交通对象
HarDNet68
SSD: Single Shot MultiBox Detector
检测
https://github.com/weiliu89/caffe/tree/ssd .
PASCAL<br>VOC, COCO, and ILSVRC datasets
Fast R-CNN
Fast R-CNN
检测
https://github.com/rbgirshick/fast-rcnn
PASCAL VOC
DarkNet53
You Only Look Once:<br>Unified, Real-Time Object Detection
检测
<br>http://pjreddie.com/yolo/
VOC 2012 t
YOLO9000<br>
YOLO9000:<br>Better, Faster, Stronger
检测
http://pjreddie.com/yolo9000/
COCO detection dataset
VGG16
VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE<br>RECOGNITION
检测
ILSVRC-2012 dataset
SpineNet
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
检测
https://github.com/<br>tensorflow/tpu/tree/master/models/official/detection.<br><br>
COCO
EfficientNet
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
检测
https:<br>//github.com/tensorflow/tpu/tree/<br>master/models/official/efficientnet.
CIFAR-100
CSPNET
CSPNET: A NEW BACKBONE THAT CAN ENHANCE LEARNING<br>CAPABILITY OF CNN
检测
https://github.com/WongKinYiu/CrossStagePartialNetworks.
COCO
自由主题
收藏
立即使用
多任务梳理123
PO_770539
职业:暂无
去主页
Collect
Get Started
计算任务展示
Collect
Get Started
任务回收流程
Collect
Get Started
123用例图
Collect
Get Started
任务部分
评论
0
条评论
下一页
图形选择
思维导图
主题
补充说明
AI生成
修改AI描述
去编辑
重新生成
提示
关闭后当前内容将不会保存,是否继续?
取消
确定
Document