Using Tensorflow Object Detection API to detect Waymo open dataset

Last update: Dec 12, 2022

Related tags

Deep Learning Waymo-2D-Object-Detection

Overview

Waymo-2D-Object-Detection

Using Tensorflow Object Detection API to detect Waymo open dataset

Result

CenterNet Training Loss

SSD ResNet Training Loss

CenterNet mAp

SSD ResNet mAp

Test Images

CenterNet

Taiwan Street

Waymo Image

SSD ResNet

Taiwan Street

Waymo Image

Owner

GitHub Repository

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Using Tensorflow Object Detection API to detect Waymo open dataset

Related tags

Overview

Waymo-2D-Object-Detection

Result

CenterNet Training Loss

SSD ResNet Training Loss

CenterNet mAp

SSD ResNet mAp

Test Images

CenterNet

Taiwan Street

Waymo Image

SSD ResNet

Taiwan Street

Waymo Image

Owner

City Surfaces: City-scale Semantic Segmentation of Sidewalk Surfaces

Instance-based label smoothing for improving deep neural networks generalization and calibration

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

AntroPy: entropy and complexity of (EEG) time-series in Python

Code, final versions, and information on the Sparkfun Graphical Datasheets

Implementation of CVPR 2021 paper "Spatially-invariant Style-codes Controlled Makeup Transfer"

This repo contains code to reproduce all experiments in Equivariant Neural Rendering

Gesture-controlled Video Game. Just swing your finger and play the game without touching your PC

[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

Cascading Feature Extraction for Fast Point Cloud Registration (BMVC 2021)

Classifying audio using Wavelet transform and deep learning

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Official PyTorch implementation of "RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on" (IJCAI-ECAI 2022)

code for Grapadora research paper experimentation

The Environment I built to study Reinforcement Learning + Pokemon Showdown

Unet network with mean teacher for altrasound image segmentation

This is the pytorch implementation for the paper: Learning Accurate Performance Predictors for Ultrafast Automated Model Compression, which is in submission to TPAMI

This is project is the implementation of the DeepShift: Towards Multiplication-Less Neural Networks paper

[TPAMI 2021] iOD: Incremental Object Detection via Meta-Learning

Numerical-computing-is-fun - Learning numerical computing with notebooks for all ages.

Using Tensorflow Object Detection API to detect Waymo open dataset

Related tags

Overview

Waymo-2D-Object-Detection

Result

CenterNet Training Loss

SSD ResNet Training Loss

CenterNet mAp

SSD ResNet mAp

Test Images

CenterNet

Taiwan Street

Waymo Image

SSD ResNet

Taiwan Street

Waymo Image

Owner

City Surfaces: City-scale Semantic Segmentation of Sidewalk Surfaces

Instance-based label smoothing for improving deep neural networks generalization and calibration

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

AntroPy: entropy and complexity of (EEG) time-series in Python

Code, final versions, and information on the Sparkfun Graphical Datasheets

Implementation of CVPR 2021 paper "Spatially-invariant Style-codes Controlled Makeup Transfer"

This repo contains code to reproduce all experiments in Equivariant Neural Rendering

Gesture-controlled Video Game. Just swing your finger and play the game without touching your PC

[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

Cascading Feature Extraction for Fast Point Cloud Registration (BMVC 2021)

Classifying audio using Wavelet transform and deep learning

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Official PyTorch implementation of "RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on" (IJCAI-ECAI 2022)

code for Grapadora research paper experimentation

The Environment I built to study Reinforcement Learning + Pokemon Showdown

Unet network with mean teacher for altrasound image segmentation

This is the pytorch implementation for the paper: *Learning Accurate Performance Predictors for Ultrafast Automated Model Compression*, which is in submission to TPAMI

This is project is the implementation of the DeepShift: Towards Multiplication-Less Neural Networks paper

[TPAMI 2021] iOD: Incremental Object Detection via Meta-Learning

Numerical-computing-is-fun - Learning numerical computing with notebooks for all ages.

This is the pytorch implementation for the paper: Learning Accurate Performance Predictors for Ultrafast Automated Model Compression, which is in submission to TPAMI