RefineMask VS PaddleDetection

Compare RefineMask vs PaddleDetection and see what are their differences.

RefineMask

RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features (CVPR 2021) (by zhanggang001)

PaddleDetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection. (by PaddlePaddle)
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RefineMask PaddleDetection
1 7
210 12,138
- 1.5%
0.0 6.5
about 2 years ago 4 days ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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RefineMask

Posts with mentions or reviews of RefineMask. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-21.

PaddleDetection

Posts with mentions or reviews of PaddleDetection. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing RefineMask and PaddleDetection you can also consider the following projects:

transfiner - Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022

mmdetection - OpenMMLab Detection Toolbox and Benchmark

Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mmtracking - OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

faster-rcnn.pytorch - A faster pytorch implementation of faster r-cnn

medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

SOLO - SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

BCNet - Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

DeepSORT - support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++

multi-object-tracker - Multi-object trackers in Python