Topic: invariant-features Goto Github
Some thing interesting about invariant-features
Some thing interesting about invariant-features
invariant-features,Demonstration of sift algorithm to track objects and observing the effect of each parameter on performance.
User: adityadutt
invariant-features,A Python and OpenCV implementation of Image Stitching using Brute Force Matcher and ORB feature descriptures.
User: ayanavasarkar
invariant-features,Transform-Invariant Non-Negative Matrix Factorization
Organization: emdgroup
Home Page: https://emdgroup.github.io/tnmf/
invariant-features,Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
User: kirill-vish
Home Page: https://arxiv.org/abs/2311.09215
invariant-features,A Python implementation of complex invariants by Flusser et al.
User: magdalenawi
invariant-features,Adaptive color-based particle filtering for object tracking in video sequences.
User: matthew-william-lock
invariant-features,Computer Vision project for object detection. Grocery items are detected on a store shelf from single model images using local invariant features and the Generalized Hough transform.
User: michele98
invariant-features,This is the final project for Udacity A/B Testing provided by Google. In this project, We implement a few statistical powers to make our data-driven solution that can bring impact to business
User: naiborhujosua
Home Page: https://colab.research.google.com/drive/1Yj3FY-f0K5gRbbE967lB-dSXpx6ueD8w?usp=sharing
invariant-features,"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021)
User: nayeemrizve
invariant-features,Pattern recognition image classification using moment invariants.
User: nepiskopos
invariant-features,Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
User: sbelharbi
invariant-features,An improved and tested code to produce Hu's Invariant moments for any Image/ Audio signals. Hu's Invariant Moments are One of the Best Feature Extraction Techniques for Further Analysis.
User: tejas1415
invariant-features,A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.
Organization: turtletools
Home Page: https://turtletools.github.io/geometricus/
invariant-features,Perception Modelling by Invariant Representation of Deep Learning for Automated Structural Diagnostic in Aircraft Maintenance: A Study Case using DeepSHM
User: vewald
invariant-features,Towards a rotationally invariant convolutional layer
User: zhampel
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