• object detection 总结


    1、基础
      自己对于YOLOV1,2,3都比较熟悉。 RCNN也比较熟悉。这个是自己目前掌握的基础
    2、第一步
      看一下2019年的井喷的anchor free的网络
    3、第二步
      看一下以往,引用多的网路
    4、第三步
      看一下,2020最新的,但是在pwcode上面排名靠前的网络

    2020优秀论文:
    EfficientDet: Scalable and Efficient Object Detection,57
    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
    Rethinking Pre-training and Self-training
    Revisiting the Sibling Head in Object Detector
    Deep High-Resolution Representation Learning for Visual Recognition*52
    HoughNet: Integrating near and long-range evidence for bottom-up object detection ??
    M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network,101

    优秀论文:
    Acquisition of Localization Confidence for Accurate Object Detection,182
    Scale-Aware Trident Networks for Object Detection,141
    GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond,107
    Path Aggregation Network for Instance Segmentation,400
    Hybrid Task Cascade for Instance Segmentation ,139
    SNIPER: Efficient Multi-Scale Training,141
    Deformable ConvNets v2: More Deformable, Better Results,188
    An Analysis of Scale Invariance in Object Detection - SNIP,218
    Single-Shot Refinement Neural Network for Object Detection,414
    Attention Augmented Convolutional Networks,58
    SaccadeNet: A Fast and Accurate Object Detector


    two stage:
    Grid R-CNN, plus,46
    Cascade R-CNN: Delving into High Quality Object Detection,571
    Libra R-CNN: Towards Balanced Learning for Object Detection,115
    Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training

    one stage:
    ExtremNet :Bottom-up Object Detection by Grouping Extreme and Center Points 2019,129
    YoLOV5
    YOLOv4: Optimal Speed and Accuracy of Object Detection*,17

    anchor free的网络:
    Scale-Equalizing Pyramid Convolution for Object Detection,2020
    FoveaBox: Beyond Anchor-based Object Detector 2019,52
    CornerNet: Detecting Objects as Paired Keypoints 2018 ,445
    CornerNet-Lite (2019) (https://arxiv.org/abs/1904.08900)
    CenterNet: Keypoint Triplets for Object Detection 2019,129
    FCOS: Fully Convolutional One-Stage Object Detection 2019,206
    Feature Selective Anchor-Free Module for Single-Shot Object Detection,144

     

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  • 原文地址:https://www.cnblogs.com/yunshangyue71/p/13375721.html
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