SynthDet VS LoFTR

Compare SynthDet vs LoFTR and see what are their differences.

LoFTR

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022 (by zju3dv)
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SynthDet LoFTR
3 1
350 2,063
0.9% 4.2%
2.9 1.9
10 months ago about 2 months ago
C# Jupyter Notebook
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.
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.

SynthDet

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

LoFTR

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

What are some alternatives?

When comparing SynthDet and LoFTR you can also consider the following projects:

AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

SuperGluePretrainedNetwork - SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Deep-Learning-Push-Up-Counter - Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.

Hierarchical-Localization - Visual localization made easy with hloc

yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0

TFLitePoseEstimation - TensorFlow Lite Pose Estimation Python Implementation

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

trt_pose_hand - Real-time hand pose estimation and gesture classification using TensorRT

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

tensorflow_Realtime_Multi-Person_Pose_Estimation - Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

make-sense - Free to use online tool for labelling photos. https://makesense.ai

BoofCV - Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.