Showing 21-30 of 30 projects
A comprehensive survey of deep learning techniques for 3D point cloud analysis, covering classification, detection, segmentation, and tracking.
Official implementation of a paper on a unified Transformer-based framework for object detection and segmentation.
A PyTorch implementation of a BERT-style pretraining method for convolutional networks, enabling more efficient self-supervised learning.
PANet is a Python library for instance segmentation and object detection using deep learning.
A fast, real-time instance segmentation library for edge devices, built with PyTorch.
A novel neural operator called Involution that can be used for image classification, object detection, and other computer vision tasks.
Universal instance perception model for object detection, segmentation, and tracking in videos.
GCNet is a deep learning library for computer vision tasks like instance segmentation and object detection.
PixelLib is a Python library for image and video segmentation using deep learning models like Mask R-CNN, DeepLab, and PointRend.
A toolbox for open-world and high-quality image segmentation, with pre-trained models and PyTorch-based implementation.
Get weekly updates on trending AI coding tools and projects.