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IJCAI2020 & IJCV2021 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo
Nvidia Semantic Segmentation monorepo
This repository provides structured code examples and project templates designed for classroom instruction in machine learning and neural networks. It offers reference implementations of deep learning models for both computer vision and natural language processing tasks, built using PyTorch as the core framework. The codebase is organized as a modular project template with separate directories for data handling, model definitions, and training scripts, promoting reusability and clarity. It includes predefined pipelines for image classification and text processing, along with a command-line in
A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"
STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)
The main features of nv-tlabs/steal are: Computer Vision Models, Robust Learning Frameworks, Video Recognition.
Projects with overlapping indexed features include: nvidia/semantic-segmentation — Nvidia Semantic Segmentation monorepo. layumi/seg-uncertainty — IJCAI2020 & IJCV2021 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo. cs230-stanford/cs230-code-examples — This repository provides structured code examples and project templates designed for classroom instruction in machine… aaltovision/dgc-net — A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network". akshayubhat/deepvideoanalytics. adamian98/pulse — Pulse is a generative model image upscaler and latent space image processor. It functions as a self-supervised photo…