FairMOT vs yolact

FairMOT

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking (by ifzhang)

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yolact

A simple, fully convolutional model for real-time instance segmentation. (by dbolya)

Realtime Real-time instance-segmentation yolact Pytorch

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FairMOT		yolact
	Project
2	Mentions	4
3,929	Stars	4,924
-	Growth	-
0.0	Activity	0.0
7 months ago	Latest Commit	6 months ago
Python	Language	Python
MIT License	License	MIT License

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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

FairMOT

Posts with mentions or reviews of FairMOT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-01.

Does Multi Object Tracking work better (precision/recall) on videos than jury rigging a SOTA image object detection to work on videos?
4 projects | /r/computervision | 1 Jun 2022
[D] Multi object tracking (MOT)
1 project | /r/MachineLearning | 17 Jun 2021

Looks like FairMOT (https://paperswithcode.com/paper/a-simple-baseline-for-multi-object-tracking) which has code available (https://github.com/ifzhang/FairMOT ).

yolact

Posts with mentions or reviews of yolact. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-29.

YOLOv6: Redefine state-of-the-art for object detection
10 projects | news.ycombinator.com | 29 Jun 2022
Instance segmentation
2 projects | /r/computervision | 2 Mar 2022

YOLACT
Advice needed
3 projects | /r/computervision | 2 Oct 2021

The Github repo is not highly structured and is probably written during the time of the author's research. Been using this for well over a year and does the job so well.
A question on Instance Segmentation Labelling
1 project | /r/deeplearning | 9 Aug 2021

I am using yolact : https://github.com/dbolya/yolact

What are some alternatives?

When comparing FairMOT and yolact you can also consider the following projects:

ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

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

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolact_edge - The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

mmdetection - OpenMMLab Detection Toolbox and Benchmark

TensorFlowTTS - :stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.

darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )