Open-set semantic segmentationGeneric segmentationScene understandingIn this paper, we extend Open-set Semantic Segmentation (OSS) into a new image segmentation task called Generalized Open-set Semantic Segmentation (GOSS). Previously, with well-known OSS, the intelligent agents only detect unknown ...
A Prototypical Metric Learning Approach for Open-Set Semantic Segmentation on Remote Sensing Images Semantic segmentation has received wide attention as a feasible solution to effectively interpret the information in remote sensing images. Solutions are t......
然而VLM通常是用图像级别的对比学习进行预训练的,没有处理像素级别任务的能力,例如语义分割。在open vocabulary semantic segmentation领域,一种自然的想法就是提取利用VLM的知识,用VLM的文本特征代替原本的闭集分类器,让分割模型能够识别出novel类别。 5.2 从图像标题数据中学习 除了利用VLM在大规模数据上训练得出的分类性...
Open set segmentation is a relatively new and unexploredtask, with just a handful of methods proposed to model suchtasks.We propose a novel method called CoReSeg thattackles the issue using class conditional reconstruction ofthe input images according to their pixelwise mask. Ourmethod conditions ea...
图中是我们模型的输出效果,我们既可以做经典的instance, semantic, panoptic segmentation,又可以分割出从未见过的物体类别,还可以基于检测框分割出从未见过的物体并给出正确的类别,这种基于box prompts分割一切的能力我们是第一个做到的,早于SAM。 OpenSeeD是一个简单而有效的开放词表图像分割的框架,也可以理解为MaskDI...
图中是我们模型的输出效果,我们既可以做经典的instance, semantic, panoptic segmentation,又可以分割出从未见过的物体类别,还可以基于检测框分割出从未见过的物体并给出正确的类别,这种基于box prompts分割一切的能力我们是第一个做到的,早于SAM。 OpenSeeD是一个简单而有效的开放词表图像分割的框架,也可以理解为MaskDI...
Open-vocabulary semantic segmentation models aim to accurately assign a semantic label to each pixel in an image from a set of arbitrary open-vocabulary texts.Benchmarks Add a Result These leaderboards are used to track progress in Open Vocabulary Semantic Segmentation TrendDatasetBest ModelPaper...
Generation Semantic map HF Hub Generation Normal map HF Hub Note that the provided checkpoint for semantic map is only trained on ADE20K dataset; the checkpoint for normal map is only trained on DIODE dataset. Inference: Generate images with GLIGEN We provide one script to generate images using...
MMSegmentation is an open source semantic segmentation toolbox based on PyTorch. It is a part of the OpenMMLab project. Themainbranch works with PyTorch 1.6+. 🎉 Introducing MMSegmentation v1.0.0 🎉 We are thrilled to announce the official release of MMSegmentation's latest version! For this...
@misc{mmseg2020, title={{MMSegmentation}: OpenMMLab Semantic Segmentation Toolbox and Benchmark}, author={MMSegmentation Contributors}, howpublished = {\url{https://github.com/open-mmlab/mmsegmentation}}, year={2020} } 开源许可证该项目采用 Apache 2.0 开源许可证。