Search Results for author:
Found 9 papers, 4 papers with code
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds
While there has been a number of studies on Zero-Shot Learning (ZSL) for 2D images, its application to 3D data is still recent and scarce, with just a few methods limited to classification.
Ranked #1 on
Generalized Zero-Shot Learning
on ScanNet
Handling new target classes in semantic segmentation with domain adaptation
In this work, we define and address a novel domain adaptation (DA) problem in semantic scene segmentation, where the target domain not only exhibits a data distribution shift w. r. t.
Zero-Shot Semantic Segmentation
Semantic segmentation models are limited in their ability to scale to large numbers of object classes.
Ranked #1 on
Zero-Shot Learning
on PASCAL Context
DADA: Depth-aware Domain Adaptation in Semantic Segmentation
As a result, the performance of the trained semantic segmentation model on the target domain is boosted.
Ranked #17 on
Image-to-Image Translation
on SYNTHIA-to-Cityscapes
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Semantic segmentation is a key problem for many computer vision tasks.
Ranked #4 on
Domain Adaptation
on Panoptic SYNTHIA-to-Mapillary
Semantic bottleneck for computer vision tasks
This paper introduces a novel method for the representation of images that is semantic by nature, addressing the question of computation intelligibility in computer vision tasks.
Generating Visual Representations for Zero-Shot Classification
This paper addresses the task of learning an image clas-sifier when some categories are defined by semantic descriptions only (e. g. visual attributes) while the others are defined by exemplar images as well.
Hard Negative Mining for Metric Learning Based Zero-Shot Classification
Zero-Shot learning has been shown to be an efficient strategy for domain adaptation.
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification
This paper addresses the task of zero-shot image classification.
