OpenMMLab-IoUNet VS PreciseRoIPooling

Compare OpenMMLab-IoUNet vs PreciseRoIPooling and see what are their differences.

PreciseRoIPooling

Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590). (by vacancy)
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OpenMMLab-IoUNet PreciseRoIPooling
1 1
24 764
- -
2.9 0.0
10 months ago over 1 year ago
Python C++
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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OpenMMLab-IoUNet

Posts with mentions or reviews of OpenMMLab-IoUNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-09.
  • Implement IoUNet based on MMDetection
    2 projects | /r/computervision | 9 Aug 2021
    Recently I implemented the IoUNet(https://arxiv.org/pdf/1807.11590.pdf) and gains similar results as in the paper. I would like to share this with anyone who's interested: https://github.com/thisisi3/OpenMMLab-IoUNet.

PreciseRoIPooling

Posts with mentions or reviews of PreciseRoIPooling. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-09.
  • Implement IoUNet based on MMDetection
    2 projects | /r/computervision | 9 Aug 2021
    IoU or localization prediction has been an active topic in Object Detection and IoUNet is one of the early models that does that. However the authors only released code for the RoIPrecisePooling(https://github.com/vacancy/PreciseRoIPooling), which is a special RoI pooling method proposed in the paper, to my best knowledge.

What are some alternatives?

When comparing OpenMMLab-IoUNet and PreciseRoIPooling you can also consider the following projects:

darknet_ros - YOLO ROS: Real-Time Object Detection for ROS

fmo-cpp-demo - Fast Moving Objects Detection (demo version)

jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.