object detection records
- Tensorflow Tensorflow API for object detection
- Soft-NMS Soft-Nms that used to post-process object detection
- imgaug This python library helps you with augmenting images for your machine learning projects
- Augmentor Augmentor is an image augmentation library in Python for machine learning.
- Image Augmentor A simple data augmentation tool for image files, intended for use with machine learning data sets.
- Image Augmentation Generating additional data for unbalanced classes by jittering the original image.
- Data Augmentation Base class for applying common real-time data augmentation
- Hash C++ Perception hash
- Image-deduplication-tool Python simple tool to detect (and get rid of) similar images using perceptual hashing
- Imgdup Visual similarity image finder and cleaner (image deduplication tool).
- FPN Feature Pyramid Networks for Object Detection
- DetNet DetNet: A Backbone network for Object Detection
- MegDet MegDet: A Large Mini-Batch Object Detector
- Yolov1 You Only Look Once: Unified, Real-Time Object Detection darknet caffe
- Yolov2 YOLO9000:Better, Faster, Stronger tensorflow pytorch caffe
- Yolov3 YOLOv3: An Incremental Improvement pytorch keras
- Yolov4 YOLOv4: Optimal Speed and Accuracy of Object Detection pytorch tensorflow
- Yolov5 pytorch
- SSD SSD: Single Shot MultiBox Detector caffe tensorflow
- DSSD DSSD : Deconvolutional Single Shot Detector caffe
- RFB-SSD Receptive Field Block Net for Accurate and Fast Object Detection pytorch
- DES Single-Shot Object Detection with Enriched Semantics
- STDN Scale-Transferrable Object Detection pytorch
- RetinaNet Focal Loss for Dense Object Detection caffe tensorflow
- RefineDet Single-Shot Refinement Neural Network for Object Detection caffe
- CornerNet CornerNet: Detecting Objects as Paired Keypoints tensorflow
- FCOS Fully Convolutional One-Stage Object Detection pytorch
- ExtremeNet Bottom-up Object Detection by Grouping Extreme and Center Points pytorch
- M2det M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network pytorch
- CornerNet-Lite CornerNet-Lite: Efficient Keypoint Based Object Detection pytorch
- Scratchdet ScratchDet: Training Single-Shot Object Detectors From Scratch pytorch
- RCNN Rich feature hierarchies for accurate object detection and semantic segmentation caffe
- Fast RCNN Fast RCNN caffe
- Faster RCNN Towards Real-Time Object Detection with Region Proposal Networks caffe tensorflow pytorch
- Mask RCNN Mask RCNN keras caffe2 tensorflow pytorch
- R-FCN R-FCN: Object Detection via Region-based Fully Convolutional Networks caffe tensorflow pytorch
- Light Head RCNN Light-Head R-CNN: In Defense of Two-Stage Object Detector tensorflow pytorch
- Cascade RCNN Cascade R-CNN: Delving into High Quality Object Detection caffe
- PANet Path Aggregation Network for Instance Segmentation pytorch
- Mask Scoring R-CNN Mask Scoring R-CNN pytorch
- TridentNet TridentNet:Scale-Aware Trident Networks for Object Detection mxnet
- Cascade R-CNN Cascade R-CNN:High Quality Object Detection and Instance Segmentation pytorch
- KL-LOSS Bounding Box Regression with Uncertainty for Accurate Object Detection caffe2
- Libra-RCNN Libra R-CNN: Towards Balanced Learning for Object Detection pytorch
- Grid-RCNN Grid R-CNN pytorch
- CBNet CBNet: A Novel Composite Backbone Network Architecture for Object Detection pytorch
- TSD 1st Place Solutions for OpenImage2019 - Object Detection and Instance Segmentation pytorch
- DetectoRS DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution pytorch
- EfficientDet EfficientDet: Scalable and Efficient Object Detection tensorflow pytorch
- D2Det D2Det: Towards High Quality Object Detection and Instance Segmentation pytorch
- PrROI Acquisition of Localization confidence for accurate object detection ECCV2018
- FreeAnchor FreeAnchor: Learning to Match Anchors for Visual Object Detection pytorch NIPS2019
- CBNet CBNet: A Novel Composite Backbone Network Architecture for Object Detection caffe2
- CenterNet CenterNet: Keypoint Triplets for Object Detection pytorch