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Found 5 papers, 2 papers with code
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment
Medical image segmentation has made significant progress when a large amount of labeled data are available.
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images
The automatic detection of skin diseases via dermoscopic images can improve the efficiency in diagnosis and help doctors make more accurate judgments.
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification
This paper considers the problem of unsupervised person re-identification (re-ID), which aims to learn discriminative models with unlabeled data.
A Multi-Level Approach to Waste Object Segmentation
We address the problem of localizing waste objects from a color image and an optional depth image, which is a key perception component for robotic interaction with such objects.
Learning a Layout Transfer Network for Context Aware Object Detection
We present a context aware object detection method based on a retrieve-and-transform scene layout model.
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