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Some-resources-useful-for-me

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based on C++

  • rrc_detection | Accurate Single Stage Detector Using Recurrent Rolling Convolution.

based on caffe

  • FPN-caffe | Feature Pyramid Networks for Object Detection on caffe.
  • KITTI_FRC_detection | Faster RCNN for KITTI.
  • RON | RON: Reverse Connection with Objectness Prior Networks for Object Detection, CVPR 2017.
  • py-faster-rcnn | Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.(2015)
  • deep-residual-networks | ResNet,Deep Residual Networks.
  • py-faster-rcnn-imagenet | Train faster rcnn on imagine dataset.
  • py-faster-rcnn-resnet-imagenet | Faster RCNN with ResNet for ImageNet Detection.
  • pva-faster-rcnn | PVANet: Lightweight Deep Neural Networks for Real-time Object Detection(NIPS2016).[arxiv]
  • ohem | Training Region-based Object Detectors with Online Hard Example Mining.(fast-rcnn + ohem). [arxiv]
  • ohem-end2end | online hard examples mining support for Faster R-CNN end to end.
  • py-R-FCN | R-FCN with joint training and python support. [arxiv]
  • KITTI-detection-OHEM | faster rcnn Online hard example mining for KITTI.
  • py-faster-rcnn-OHEM | faster rcnn Online hard example mining.
  • Faster-RCNN | Faster-RCNN KITTI数据集上的车辆行人检测.
  • kitti | Kitti on Faster R-CNN (Python implementation).
  • fast-rcnn | Fast R-CNN
  • face-py-faster-rcnn | Face Detection with the Faster R-CNN.
  • faster-rcnn-resnet | ResNet Implementation for Faster-rcnn.
  • adversarial-frcnn | A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection.(CVPR2017)[arXiv]
  • caffe-rfcn | Caffe branch for R-FCN.
  • ccnn | Learning Chained Deep Features and Classifiers for Cascade in Object Detection.(iccv2017)
  • CoupleNet | CoupleNet: Coupling Global Structure with Local Parts for Object Detection.(iccv2017)
  • SSH | SSH: Single Stage Headless Face Detector
  • soft-nms | Soft-NMS
  • mrcnn-object-detection | Object detection via a multi-region & semantic segmentation-aware CNN model
  • cascade-rcnn | Cascade R-CNN: Delving into High Quality Object Detection.
  • mscnn | A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection.

based on mxnet

  • FPN-mxnet | Feature Pyramid Networks for Object Detection on mxnet.
  • mx-rcnn | Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.
  • mx-rfcn | MXNet port of R-FCN.
  • road_obj_detect | Road Object Detection under RFCN.
  • maskrcnn.mxnet | Mask-RCNN implementation in MXNet.

based on tensorflow

  • TFFRCNN | Faster RCNN built on tensorflow.
  • Faster-RCNN_TF | Faster-RCNN in Tensorflow.
  • tf-faster-rcnn | Tensorflow Faster RCNN for Object Detection.
  • tf-Faster-RCNN | TensorFlow implementation of Faster R-CNN.
  • tensorflow-fast-rcnn | fast-rcnn in tensorflow.
  • FPN | Feature Pyramid Network.
  • FastFPN | Tensorflow implementation for "Feature Pyramid Networks for Object Detection".
  • KittiSeg | A Kitti Road Segmentation model implemented in tensorflow.
  • KittiBox | A car detection model implemented in Tensorflow.
  • 2D_detection | TensorFlow implementation of SqueezeDet, trained on the KITTI dataset.
  • RFCN-tensorflow | RFCN implementation in TensorFlow.
  • Mask_RCNN | Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow.

based on pytorch


based on matlib

  • tiny | Tiny Face Detector, CVPR 2017.
  • CRAFT | Codes for CVPR2016 paper "CRAFT Objects from Images".

others

  • kitti | Boston Team for the Udacity/Didi Challenge.
  • eval_kitti | Tools to evaluate object detection results using the KITTI dataset.

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