631 Open source projects that are alternatives of or similar to Detectron Self Train

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

Physical adversarial attack for fooling the Faster R-CNN object detector

Build fully-functioning computer vision models with PyTorch

Simpler app for tensorflow object detection API

End-to-End Object Detection Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Deep Learning toolkit for Computer Vision.

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

Convert any classification model or architecture trained in keras to an object detection model

Domain Adaptive Faster R-CNN in PyTorch

OpenMMLab Detection Toolbox and Benchmark

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

Face detection using deep learning.

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

Automatic Number (License) Plate Recognition using Tensorflow Object Detection API

[S+SSPR2020] IterDet: Iterative Scheme for Object Detection in Crowded Environments

Implementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)

Tensorflow Faster RCNN for Object Detection

Boundary-preserving Mask R-CNN (ECCV 2020)

High level network definitions with pre-trained weights in TensorFlow

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Detect traffic lights and classify the state of them, then give the commands "go" or "stop".

Python and OpenCV based object tracking software

Differentiable IoU of rotated bounding boxes using Pytorch

FaceBoxes for hand detection in PyTorch

Use the Tensorflow Object Detection API with Tensorflow 2

A Real Time Object Detection application on iOS using Tensorflow and pre-trained COCO dataset models. Video frames are captured and inference is done locally using the provided mobilenet models. Both Swift and Objective-C projects.

A newly built high-resolution dataset for object detection and pedestrian detection (IEEE TIP 2020)

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

FrostNet: Towards Quantization-Aware Network Architecture Search

Deep Hough Voting for 3D Object Detection in Point Clouds

A data generator for 2D object detection

9th Place Solution of Kaggle Global Wheat Detection

R interface to fast.ai

Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Library of transfer learners and domain-adaptive classifiers.

PANet for Instance Segmentation and Object Detection

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

Making custom object detector using Yolo (Java and Python)

This is sample code for object detection using OpenCV on android

A pure torch implement of FCOS 37.2AP

An open source framework for deep learning on satellite and aerial imagery.

Deep Transfer Learning Papers

Frustum PointNets for 3D Object Detection from RGB-D Data

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

NVR with realtime local object detection for IP cameras

How to run YOLO on Jetson TX2

Code to export full segmentations from GTA

Ros package for basic autonomous lane tracking and object detection

Fish detection using Open Images Dataset and Tensorflow Object Detection