Showing 161-170 of 170 projects
A powerful open-world object detection model for computer vision tasks, leveraging the DINO framework.
PixelLib is a Python library for image and video segmentation using deep learning models like Mask R-CNN, DeepLab, and PointRend.
A research project focused on open-world object detection using continual and contrastive learning techniques.
A collection of machine learning tutorials covering various topics like anomaly detection, time series forecasting, and object detection.
A C++ implementation of popular object detection frameworks like Cascade R-CNN.
A toolbox for open-world and high-quality image segmentation, with pre-trained models and PyTorch-based implementation.
A multi-view 3D object detection and segmentation framework that uses position embedding transformation.
An open-source Python library for robust multi-object tracking on videos using an observation-centric approach.
A Python framework for developing complex video analysis and series-processing applications.
High-level network definitions with pre-trained weights in TensorFlow for deep learning and computer vision tasks.
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