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qiaodl/Mask-YOLO

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

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qiaodl/SEG-YOLO

Real time instance segmentation using YOLOv3 and FCN

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qiaodl/avod_ssn

Deep Sensor Fusion for Single Source Robustness

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qiaodl/yolact

A simple, fully convolutional model for real-time instance segmentation.

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qiaodl/traffic_monitoring

Development of Intelligent Multimodal Traffic Monitoring using Radar Sensor at Intersections

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qiaodl/RRPN

Code for 'RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles' (ICIP 2019)

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qiaodl/CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

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qiaodl/Singapore-Maritime-Dataset-Trained-Deep-Learning-Models

This repository contains the training configurations for several Deep Learning models trained on the Singapore Maritime Dataset and links to the trained - ready to use - models.

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qiaodl/Mask-YOLOv3

YOLOv3 with Mask

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qiaodl/Ship-Collision-Avoidance

船舶自动避障文献阅读记录

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qiaodl/PanopticSegmentation-1

PKU_360 Team's fuse code! This code is used to fuse the semantic segmentation result and instance segmentation result. We won the third place in COCO2018 panoptic segmentation.

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qiaodl/yolact_cityscapes_550

Modified real-time instance segmentation network YOLACT for several object categories on CityScapes dataset

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qiaodl/flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

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qiaodl/darknet

Convolutional Neural Networks

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qiaodl/pytorch_model_integration

The project is based on pytorch and integrates the current mainstream network architecture, including VGGnet, ResNet, Densenet, MobileNet and DarkNet (YOLOv2 and YOLOv3).

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qiaodl/CameraRadarFusionNet

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qiaodl/TensorRT-Inference-Server-Tutorial

服务侧深度学习部署案例

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qiaodl/awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

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qiaodl/Short-term_CA_based_on_RL

Collision Avoidance between vessels based on Reinforcement learning in a potential field environment

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qiaodl/NMEA2000_socketCAN

A driver for the NMEA2000 library and standard linux socketCAN devices