Showing 41-51 of 51 projects
DeepLab-ResNet reimplementation in TensorFlow for semantic image segmentation.
This repository provides hands-on examples and guidance for building, training, deploying and maintaining deep learning models in production.
PaddleViT is a state-of-the-art Visual Transformer and MLP model library for the PaddlePaddle 2.0+ deep learning framework.
An out-of-the-box library for extracting human parsing representations from images using deep learning.
Neural Network Compression Framework for enhanced OpenVINOโข inference
EfficientFormer is a deep learning model for efficient image segmentation and object detection.
PyTorch re-implementation of DeepLab v2 for semantic segmentation on COCO-Stuff and PASCAL VOC datasets.
PixelLib is a Python library for image and video segmentation using deep learning models like Mask R-CNN, DeepLab, and PointRend.
A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery.
A toolbox for open-world and high-quality image segmentation, with pre-trained models and PyTorch-based implementation.
Lightweight PyTorch models for real-time semantic segmentation on computer vision tasks.
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