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Search results for object detection faster rcnn
faster-rcnn
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object-detection
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97 search results found
Mmdetection
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26,886
OpenMMLab Detection Toolbox and Benchmark
Paddledetection
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11,653
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Tf Faster Rcnn
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3,595
Tensorflow Faster RCNN for Object Detection
Simple Faster Rcnn Pytorch
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3,107
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Luminoth
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2,395
Deep Learning toolkit for Computer Vision.
Tensornets
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968
High level network definitions with pre-trained weights in TensorFlow
Relation Networks For Object Detection
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911
Relation Networks for Object Detection
Icevision
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823
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
Mmdetection To Tensorrt
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562
convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.
Hrnet Object Detection
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549
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
Detecto
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534
Build fully-functioning computer vision models with PyTorch
Rectlabel Support
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477
RectLabel is an offline image annotation tool for object detection and segmentation.
Ssd.tensorflow
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311
State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869
Traffic Sign Detection
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236
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Iterdet
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202
[S+SSPR2020] IterDet: Iterative Scheme for Object Detection in Crowded Environments
Py R Fcn Multigpu
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191
Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe
Syndata Generation
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190
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
Dockerface
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162
Face detection using deep learning.
Frcnn From Scratch With Keras
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146
💥Faster R-CNN from scratch written with Keras
Fasterrcnn Pytorch Training Pipeline
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135
PyTorch Faster R-CNN Object Detection on Custom Dataset
Ios_tensorflow_objectdetection_example
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124
An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101
X Detector
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120
Light-Head RCNN and One Novel Object Detector
Easy Faster Rcnn.pytorch
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114
An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.
Tensorflow Anpr
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113
Automatic Number (License) Plate Recognition using Tensorflow Object Detection API
Sightseq
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109
🔭 Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection
Hrnet Maskrcnn Benchmark
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106
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).
Driving In The Matrix
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83
Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
Robust Physical Attack
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82
Physical adversarial attack for fooling the Faster R-CNN object detector
Mmdetection
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81
OpenVINO Training Extensions Object Detection
Bmaskr Cnn
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81
Boundary-preserving Mask R-CNN (ECCV 2020)
Tf Object Detection
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80
Simpler app for tensorflow object detection API
Detectron Self Train
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78
A PyTorch Detectron codebase for domain adaptation of object detectors.
Visdrone2018
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77
ECCV2018(Challenge-Object Detection in Images)
Tog
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74
Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enriching opportunities, they also open doors for misuse and abuse. This project presents a suite of adversarial objectness gradient attacks, coined as TOG, which can cause the state-of-the-art deep object detection networks to suffer from untargeted random attacks or even targeted attacks with three types
Keras Faster Rcnn
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72
keras实现faster rcnn,end2end训练、预测; 持续更新中,见todo... ;欢迎试用、关注并反馈问题
Tf Eager Fasterrcnn
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66
Faster R-CNN R-101-FPN model was implemented with TensorFlow2.0 eager execution.
Maskrcnn_benchmark.cpp
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63
Implementation maskrcnn-benchmark, pytorch c++ frontend
Rscnn
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60
A cnn framework on Android platform, implemented with RenderScript and java, support MobileNet-SSD and faster-rcnn. No JNI/C++ or thirdparty dependencies.
Publications Arruda Ijcnn 2019
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59
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night
Fasterrcnn
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59
Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.
Da Retinanet
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58
Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
Kerod
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53
DETR - Faster RCNN implementation in tensorflow 2
Pvanet Face
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48
A face detection model based on PVANet
Anchor Boxes With Kmeans
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48
How to initialize Anchors in Faster RCNN for custom dataset?
Ssdetection
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47
ssdetection is a general framework for our research on strongly supervised object detection.
Tfdetection
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46
A Detection Toolbox for Tensorflow2
Psroialign
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45
(Oriented) PsRoIAlign Operation In Tensorflow C++ API
Objdet
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43
实现常用的one-stage和two-stage目标检测网络
R2cnn.pytorch
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40
pytorch implementation of R2CNN, Rotational Faster RCNN for orientated object detection
Object Detection_helmetdetection
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36
A computer vision practice: Using Tensorflow - Object Detection Tutorials - Helmet detection
Da Faster Rcnn
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35
Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild
Hall Of Faces
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34
Face detection model zoo
Autonomous Object Detection
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34
Object detection for autonomous navigation systems
Dual Mfa Vqa
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33
Co-attending Regions and Detections for VQA.
Tfboys
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32
TensorFlow and Pytorch practice codes with purity and simplicity.
Gluon Faster Rcnn
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30
Faster R-CNN implementation with MXNet Gluon API
Traffic Light Detector
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30
Detect traffic lights and classify the state of them, then give the commands "go" or "stop".
Cntk Hotel Pictures Classificator
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29
This POC is using CNTK 2.1 to train model for multiclass classification of images. Our model is able to recognize specific objects (i.e. toilet, tap, sink, bed, lamp, pillow) connected with picture types we are looking for. It plays a big role in a process which will be used to classify pictures from different hotels and determine whether it's a picture of bathroom, bedroom, hotel front, swimming pool, bar, etc.
Smd
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26
Simple mmdetection CPU inference
Cntk Python Web Service On Azure
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25
This sample project shows off how to prepare and deploy to Azure Web Apps a simple Python web service with an image classifying model produced in CNTK (Cognitive Toolkit) using FasterRCNN
Visdrone Dataset Python Toolkit
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25
This repository provides a basic Pythonic toolkit for the VisDrone-Dataset (2018).
Detectron2 Publaynet
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24
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
Real Time Object Detection Api Using Tensorflow
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24
A Transfer Learning based Object Detection API that detects all objects in an image, video or live webcam. An SSD model and a Faster R-CNN model was pretrained on Mobile net coco dataset along with a label map in Tensorflow. This model were used to detect objects captured in an image, video or real time webcam. Open CV was used for streaming objects and preprocessing.
Giouloss_ciouloss_caffe
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23
Caffe version Generalized & Distance & Complete Iou loss Implementation for Faster RCNN/FPN bbox regression
Keras_object_detection
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23
Convert any classification model or architecture trained in keras to an object detection model
Faster Rcnn Pytorch Simple
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23
Tf_rfcn
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22
TensorFlow RFCN ver 0.1
Object Detecion Via Smartphone Camera Using Faster R Cnn
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21
Detecting objects captured in the frame of a Smartphone Camera using Faster R-CNN algorithm. TensorFlow Object Detection API has been used for back end & OpenCV has been used to process the frames of video captured from Smartphone Camera. IPWebcam app is used to link Smarthphone to Object Detection Code
Lightdenseyolo
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20
A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module
Zsd Sc Resolver
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19
Resolving semantic confusions for improved zero-shot detection (BMVC 2022)
Detection Amlworkbench
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19
Ae Wtn
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18
Scaling Object Detection by Transferring Classification Weights
Object And Semantic Part Detection Pytorch
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18
Joint detection of Object and its Semantic parts using Attention-based Feature Fusion on PASCAL Parts 2010 dataset
Salient Pedestrian Detection
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17
Maskrcnn
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17
MaskRCNN object detection implemented by Keras.
Tf2 Faster Rcnn
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17
This is a fast and concise implementation of Faster R-CNN with TensorFlow2.
Real Time Object Detection For Autonomous Driving Using Deep Learning
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17
My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
Wildfire Smoke Detection
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15
Convolutional neural network model based on the architecture of the Faster-RCNN for wildfire smoke detection.
Faster Rcnn Graphics
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15
Symbol detection in online handwritten graphics using Faster R-CNN
Fasterrcnntf_icpr2018
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15
a Tensorflow version of Faster Rcnn for ICPR2018 text detection
Faster R Cnn Keras
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15
🚧🚧🚧 Faster R-CNN实现安防中安全帽佩戴目标检测
Tf Faster Rcnn
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14
Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones
Rhf
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14
A deep learning algorithm for real-time object detection is proposed to automatically identify face-mask-wearing status in high-density crowds.
Pytorch Customdataset Fasterrcnn
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14
Pytorch based FasterRCNN for custom dataset
Global Wheat Detection Aicrowd
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13
Wheat detection using Faster RCNN
Tinyobject
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12
对于小目标的检测和识别
Publications Tabelini Ijcnn 2019
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12
Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images
Automatic Number Plate Recognition
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11
This repository for project that can Automate Number Plate Recognition (ANPR) in Morocco Licensed Vehicles. 💻 + 🚙 + 🇲🇦 = 🤖 🕵🏻♂️
Conditionalglo
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11
Yi-Min Chou, Chien-Hung Chen, Keng-Hao Liu, and Chu-Song Chen, "Changing Background to Foreground: An Augmentation Method Based on Conditional Generative Network for Stingray Detection," IEEE International Conference on Image Processing, ICIP 2018, October 2018.
Endoscopic Artefact Detection
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11
EndoCV2020: Endoscopic Artefact Detection Challenge (EAD2020) - Implementation of the proposed framework
Coronary Artery Stenosis Detection
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11
Coronary artery stenosis detection using Faster RCNN
Faster R Cnn Tensorflow Api Custom
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10
Faster R-CNN with Tensorflow Object Detection API for Custom Dataset.
Faster Rcnn.supernova
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10
基于faster-rcnn.pytorch改进,超新星识别比赛code
Document_layout_analysis Monkai
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9
DL models that take a document image file as input, locate the position of paragraphs, lines, images, etc. with their labels and confidence scores.
Nice Object Detection Collection
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9
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/1
Epic_kitchens_object_detector_detectron
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9
Epic Kitchens Object Detector and Feature Extractor using Faster-RCNN with Detectron2
Deformable Convnets
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9
原始仓库Deformable-ConvNets代码注释
F1 Racing Cars Tracking
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8
A Faster R-CNN based model for detection and tracking of F1 racing cars through transfer learning and histograms distance
Cmpe295 Masters Project
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7
Object + Lane Detection for Self-Driving Car
Detectron2
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7
Detectron is Facebook AI Research’s (FAIR) software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. Detectron model is meant to advance object detection by offering speedy training and addressing the issues companies face when making the step from research to production.
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1-97 of 97 search results
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