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Awesome-Object-Detections

object detection records
https://github.com/daicoolb/Awesome-Object-Detections

Last synced: 3 days ago
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  • Image Augmentation

  • BackBone

  • One stage

    • Yolov1 - Time Object Detection [darknet](https://github.com/pjreddie/darknet) [caffe](https://github.com/xingwangsfu/caffe-yolo)
    • Yolov2 - pytorch) [caffe](https://github.com/gklz1982/caffe-yolov2)
    • Yolov3 - yolo-v3) [keras](https://github.com/qqwweee/keras-yolo3)
    • Yolov4 - YOLOv4) [tensorflow](https://github.com/hunglc007/tensorflow-yolov4-tflite)
    • SSD - Tensorflow)
    • DSSD
    • RFB-SSD
    • DES - Shot Object Detection with Enriched Semantics
    • STDN - Transferrable Object Detection [pytorch](https://github.com/arvention/STDN)
    • RetinaNet
    • RefineDet - Shot Refinement Neural Network for Object Detection [caffe](https://github.com/sfzhang15/RefineDet)
    • CornerNet
    • FCOS - Stage Object Detection [pytorch](https://github.com/tianzhi0549/FCOS)
    • ExtremeNet - up Object Detection by Grouping Extreme and Center Points [pytorch](https://github.com/xingyizhou/ExtremeNet)
    • M2det - Shot Object Detector based on Multi-Level Feature Pyramid Network [pytorch](https://github.com/qijiezhao/M2Det)
    • CornerNet-Lite - Lite: Efficient Keypoint Based Object Detection [pytorch](https://github.com/princeton-vl/CornerNet-Lite)
    • Scratchdet - Shot Object Detectors From Scratch [pytorch](https://github.com/KimSoybean/ScratchDet)
    • Yolov4 - YOLOv4) [tensorflow](https://github.com/hunglc007/tensorflow-yolov4-tflite)
    • CornerNet-Lite - Lite: Efficient Keypoint Based Object Detection [pytorch](https://github.com/princeton-vl/CornerNet-Lite)
  • API

  • Two stage

    • RCNN
    • Fast RCNN - rcnn)
    • Faster RCNN - Time Object Detection with Region Proposal Networks [caffe](https://github.com/rbgirshick/py-faster-rcnn) [tensorflow](https://github.com/smallcorgi/Faster-RCNN_TF) [pytorch](https://github.com/jwyang/faster-rcnn.pytorch)
    • Mask RCNN - mask-rcnn)
    • R-FCN - FCN: Object Detection via Region-based Fully Convolutional Networks [caffe](https://github.com/YuwenXiong/py-R-FCN) [tensorflow](https://github.com/xdever/RFCN-tensorflow) [pytorch](https://github.com/PureDiors/pytorch_RFCN)
    • Light Head RCNN - Head R-CNN: In Defense of Two-Stage Object Detector [tensorflow](https://github.com/zengarden/light_head_rcnn) [pytorch](https://github.com/Sundrops/pytorch-faster-rcnn)
    • Cascade RCNN - CNN: Delving into High Quality Object Detection [caffe](https://github.com/zhaoweicai/cascade-rcnn)
    • PANet
    • Mask Scoring R-CNN - CNN [pytorch](https://github.com/zjhuang22/maskscoring_rcnn)
    • TridentNet - Aware Trident Networks for Object Detection [mxnet](https://github.com/TuSimple/simpledet)
    • KL-LOSS - he/KL-Loss)
    • Libra-RCNN - CNN: Towards Balanced Learning for Object Detection [pytorch](https://github.com/OceanPang/Libra_R-CNN)
    • Grid-RCNN - CNN [pytorch](https://github.com/STVIR/Grid-R-CNN)
    • CBNet
    • TSD - Object Detection and Instance Segmentation [pytorch](https://github.com/Sense-X/TSD)
    • DetectoRS - siyuan-qiao/DetectoRS)
    • EfficientDet - Another-EfficientDet-Pytorch)
    • D2Det
    • Cascade R-CNN - CNN:High Quality Object Detection and Instance Segmentation [pytorch](https://github.com/zhaoweicai/Detectron-Cascade-RCNN)
    • EfficientDet - Another-EfficientDet-Pytorch)
    • Libra-RCNN - CNN: Towards Balanced Learning for Object Detection [pytorch](https://github.com/OceanPang/Libra_R-CNN)
    • TSD - Object Detection and Instance Segmentation [pytorch](https://github.com/Sense-X/TSD)
    • DetectoRS - siyuan-qiao/DetectoRS)
  • Recent Papers

  • Image Deduplication