Collection of image (semantic and instance) segmentation projects.
DETR: End-to-End Object Detection with Transformers
A new method that views object detection as a direct set prediction problem.
Image segmentation in 2020
Architectures, Losses, Datasets, and Frameworks
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
SOLT: Data Augmentation for Deep Learning
Data augmentation library for Deep Learning, which supports images, segmentation masks, labels and key points.
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
A composite dataset that unifies semantic segmentation datasets from different domains.
Stochastic Segmentation Networks
An efficient probabilistic method for modelling aleatoric uncertainty with any image segmentation network architecture.
Fast Online Object Tracking and Segmentation: A Unifying Approach
We illustrate how to perform both realtime object tracking and semi-supervised video object segmentation using a fully-convolutional Siamese approach.
Single-Stage Semantic Segmentation from Image Labels
We attain competitive results by training a single network model for segmentation in a self-supervised fashion using only image-level annotations
VPSNet for Video Panoptic Segmentation
Video panoptic segmentation by generating consistent panoptic segmentation as well as an association of instance ids across video frames.
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AI Research @apple. Author @oreillymedia. ML Lead @Ciitizen. Alum @hopkinsmedicine and @gatech
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