YOLOPv2 - Python
https://github.com/CAIC-AD/YOLOPv2 196
YOLOPv2 - Python Similar Projects List
Panoptic deeplab
474
This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
AutoPanoptic
19
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation. Implementation of NeurIPS2020 paper: Auto-Panoptic: Multi-Component Architecture Search for Panoptic Segmentation
Panoptic PolarNet
92
Panoptic-PolarNet is a fast and robust LiDAR point cloud panoptic segmentation framework. We learn both semantic segmentation and class-agnostic instance clustering in a single inference network using a polar Bird's Eye View (BEV) representation. Predictions from the semantic and instance head are then fused through a majority voting to create the final panopticsegmentation.
Greenpack - Go
109
Cross-language serialization for Golang: greenpack adds versioning, stronger typing, and optional schema atop msgpack2. `greenpack -msgpack2` produces classic msgpack2, and handles nils. Cousin to ZebraPack (https://github.com/glycerine/zebrapack), greenpack's advantage is fully self-describing data. Oh, and faster than protobufs. .
greenpack news, April 2019
Version 5.0.9 includes native support for time.Duration serialization.
December 2017:
Version 5.0.4 includes two new features:
a) interfaces are supported, and automatically detected
(Since the
Faster mobile retinaface - Python
134
Reimplementation of retinaface, faster and stronger.
Face Detection @ 500-1000 FPS
Reimplementation of RetinaFace, faster and stronger.
RetinaFace: Single-stage Dense Face Localisation in the Wild
Getting Start
Install gstreamer for reading videos
sudo
YOLOP - Python
457
You Only Look Once for Panopitic Driving Perception.
Self Driving Car 3D Simulator With CNN - Python
147
Implementing a self driving car using a 3D Driving Simulator. CNN will be used for training.
Self-Driving-Car-3D-Simulator-With-CNN
Introduction
Self Driving car after 50 epochs of training
Some point in our life as programmers we all wonder how a self driving car is actually programmed. I went th
Carma platform - C++
293
CARMA Platform is built on robot operating system (ROS) and utilizes open source software (OSS) that enables Cooperative Driving Automation (CDA) features to allow Automated Driving Systems to interact and cooperate with infrastructure and other vehicles through communication. The newest inception of CARMA is now live on Github and open for collaborating. The CARMAPlatform is created on a robot operating system (ROS) and utilizes open source software (OSS) that enables cooperative automated driving plug-ins.
Friendly Adversarial Training
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Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
Clsa pytorch
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Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code
Weakly Supervised Panoptic Segmentation - MATLAB
156
Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18).
Weakly- and Semi-Supervised Panoptic Segmentation
by Qizhu Li*, Anurag Arnab*, Philip H.S. Torr
This repository demonstrates the weakly supervised ground truth generation scheme presented in our paper Weakly- and Semi-Supervised
Segmentation.X - Python
467
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
UPSNet - Python
609
UPSNet: A Unified Panoptic Segmentation Network
Introduction
UPSNet is initially described in a CVPR 2019 oral paper.
Disclaimer
This repository is tested under Python 3.6, PyTorch 0.4.1. And model training