densecrf
Inference scheme
A C++ implementation of an inference scheme for discrete random fields in computer vision
a fork of the densecrf package implementing alternative inference scheme
27 stars
5 watching
21 forks
Language: C++
last commit: almost 9 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
lucasb-eyer/pydensecrf | A Python wrapper for fully connected CRFs with Gaussian edge potentials used in computer vision and machine learning. | 1,962 |
mlcommons/inference | Measures the performance of deep learning models in various deployment scenarios. | 1,256 |
amueller/textonboost | A C++ implementation of a dense CRF algorithm using textons. | 32 |
cvlab-epfl/lift | A Python implementation of a feature point transform designed to be invariant to certain transformations. | 487 |
clu5/federated-conformal | A framework for incorporating uncertainty quantification into federated learning models | 10 |
cdoersch/vae_tutorial | An open-source implementation of Variational Autoencoders and Conditional Variational Autoencoders for image reconstruction tasks | 503 |
ai-secure/crfl | This project presents a framework for robust federated learning against backdoor attacks. | 71 |
kfrlib/kfr | A C++ framework providing high-performance building blocks for digital signal processing and audio applications. | 1,677 |
epfldata/squid | A type-safe metaprogramming framework for Scala that facilitates program manipulation and optimization. | 198 |
fogleman/dlaf | Diffusion-limited aggregation algorithm implemented in C++ for generating random point clouds | 188 |
kthohr/stats | A C++ library of statistical functions with compile-time capabilities and integration with linear algebra libraries. | 533 |
marvinteichmann/convcrf | An implementation of a convolutional Conditional Random Field model for semantic segmentation tasks. | 564 |
wenkehuang/fccl | A framework for tackling heterogeneity and catastrophic forgetting in federated learning by leveraging cross-correlation and similarity learning | 97 |
mxmxmx/o_c | Generates CV signals based on user input and stores them in a polymorphic format | 474 |
rlouf/mcx | Tools and methods for Bayesian deep learning using probabilistic programming. | 328 |