Semantic Segmentation
Showing 7 of 43 projects
An open-source pipeline for high-throughput, non-invasive extraction of phenotypic traits from plant images using deep learning.
A PyTorch-based framework providing implementations of state-of-the-art deep learning models for computer vision tasks.
A library of reusable web components for data annotation tasks in computer vision applications.
An attentive bilateral contextual network for efficient semantic segmentation of fine-resolution remote sensing images.
Python implementation of scan unfolding for KITTI LiDAR data to create dense cylindrical projections without systematic discretization artifacts.
A bilateral awareness network combining transformers and convolutions for semantic segmentation of very fine resolution urban scene images.
A tool for panoptic segmentation of organelles in 2D and 3D electron microscopy images using deep learning.
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