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

Bling's Object detection tool

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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

Bling's Object detection tool

ICLR2021 (Under Review)

An end-to-end PyTorch framework for image and video classification

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

Organseg dags - The repository contains the codebase for multi-organ segmentation with directed acyclic graphs (DAGs) in CT.

particle tracking model, works with the ROMS output file(qck.nc, his.nc)

In generative deep geometry learning, we often get many obj files remain to be rendered

Learning Calibrated-Guidance for Object Detection in Aerial Images

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data

A transformer model to predict pathogenic mutations

Baseline and template code for node21 detection track

Python calculations for the position of the sun and moon.

[CVPR 2022 Oral] MixFormer: End-to-End Tracking with Iterative Mixed Attention

Implementation for paper "STAR: A Structure-aware Lightweight Transformer for Real-time Image Enhancement" (ICCV 2021).

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

YOLTv4 builds upon YOLT and SIMRDWN, and updates these frameworks to use the most performant version of YOLO, YOLOv4

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