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Search results for computer vision faster rcnn
computer-vision
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faster-rcnn
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33 search results found
Luminoth
⭐
2,395
Deep Learning toolkit for Computer Vision.
Faster_rcnn_pytorch
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1,571
Faster RCNN with PyTorch
Icevision
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823
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
Detecto
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534
Build fully-functioning computer vision models with PyTorch
Kittibox
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384
A car detection model implemented in Tensorflow.
Dockerface
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162
Face detection using deep learning.
Tensorflow Anpr
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113
Automatic Number (License) Plate Recognition using Tensorflow Object Detection API
Ship Detection On Remote Sensing Synthetic Aperture Radar Data
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86
Maritime vessel detection from remote sensing SAR data, based on the architectures of the Faster-RCNN and YOLOv5 networks.
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
Fasterrcnn
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59
Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.
Kerod
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53
DETR - Faster RCNN implementation in tensorflow 2
Anchor Boxes With Kmeans
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48
How to initialize Anchors in Faster RCNN for custom dataset?
Hall Of Faces
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34
Face detection model zoo
Rgz_rcnn
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33
ClaRAN: A deep learning classifier for radio morphologies
Depth Vrd
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33
Improving Visual Relation Detection using Depth Maps (ICPR 2020)
Smd
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26
Simple mmdetection CPU inference
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
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
Zsd Sc Resolver
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19
Resolving semantic confusions for improved zero-shot detection (BMVC 2022)
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
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.
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.
Global Wheat Detection Aicrowd
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13
Wheat detection using Faster RCNN
Fasterrcnn_resnet50_fpn_v2_new_dataset
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11
How to Train Faster RCNN ResNet50 FPN V2 on Custom Dataset?
Automatic Number Plate Recognition
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11
This repository for project that can Automate Number Plate Recognition (ANPR) in Morocco Licensed Vehicles. 💻 + 🚙 + 🇲🇦 = 🤖 🕵🏻♂️
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
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.
Corrosionapi
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5
Corrosion Detection Using Faster RCNN.
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1-33 of 33 search results
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