Robust training of large-scale object detectors with a noisy dataset
Abstract Systems and methods are described for object detection within a digital image
using a hierarchical softmax function. The method may include applying a first softmax …
using a hierarchical softmax function. The method may include applying a first softmax …
Denoising Monte Carlo renderings using machine learning with importance sampling
Supervised machine learning using neural networks is applied to denoising images
rendered by MC path tracing. Specialization of neural networks may be achieved by using a …
rendered by MC path tracing. Specialization of neural networks may be achieved by using a …
Temporal techniques of denoising Monte Carlo renderings using neural networks
A modular architecture is provided for denoising Monte Carlo renderings using neural
networks. The temporal approach extracts and combines feature representations from …
networks. The temporal approach extracts and combines feature representations from …
Method of and server for training a machine learning algorithm for estimating uncertainty of a sequence of models
GG MELANÇON, W Gharbieh, I Malik… - US Patent …, 2023 - Google Patents
2020-10-01 Assigned to ELEMENT AI INC. reassignment ELEMENT AI INC. ASSIGNMENT
OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: MALIK, IMAN …
OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: MALIK, IMAN …
Training image signal processors using intermediate loss functions
A Sutic, Z Zivkovic, G Michael - US Patent 10,796,200, 2020 - Google Patents
In an example method for training image signal processors, a reconstructed image is
generated via an image signal processor based on a sensor image. An intermediate loss …
generated via an image signal processor based on a sensor image. An intermediate loss …
Denoising Monte Carlo renderings using progressive neural networks
Supervised machine learning using neural networks is applied to denoising images
rendered by MC path tracing. Specialization of neural networks may be achieved by using a …
rendered by MC path tracing. Specialization of neural networks may be achieved by using a …
Systems and methods for optimized computer vision using deep neural networks and Litpschitz analysis
Computer vision systems and methods for optimized computer vision using deep neural
networks and Lipschitz analysis are provided. The system receives signals or data related to …
networks and Lipschitz analysis are provided. The system receives signals or data related to …
Large-scale generation of photorealistic 3d models
G Elbaz - US Patent App. 17/791,455, 2023 - Google Patents
Starting with a small dataset of 3D base models, each model including 3D mesh and texture
feature map definitions, procedural modifications of the 3D meshes and the texture feature …
feature map definitions, procedural modifications of the 3D meshes and the texture feature …
Fastestimator healthcare ai framework
X Dong, A Chowdhury, J Hong, HM Chang… - US Patent App. 16 …, 2020 - Google Patents
An artificial intelligence platform and associated methods of training and use are disclosed.
An example apparatus includes a data pipeline to: preprocess data using one or more …
An example apparatus includes a data pipeline to: preprocess data using one or more …
Systems and methods for deep-learning based super-resolution using multiple degradations on-demand learning
SNRD Reddy, Q Dai - US Patent 11,521,131, 2022 - Google Patents
(57) ABSTRACT A machine learning model can be trained using a first set of degraded
images for each of a plurality of combinations and corresponding reference images, where a …
images for each of a plurality of combinations and corresponding reference images, where a …