模型整体偏像于 MaskFormer,与传统针对每个像素预测类别不同,本文因为是针对开放世界,使用直接预测多个分割图再匹配类别的方式自然更好。MaskFormer 可参考: 煎饼果子不要果子:【MaskFormer】Per-Pixel Classification is Not All You Need for Semantic Segmentation32 赞同 · 0 评论文章 除此之外,开放世界词汇的思路还...
Open-Vocabulary Image Segmentation 这个工作的整体思路是得到N个分割的掩码结果,然后和文本一起匹配(整体思路和Maskformer有一点类似,但是这里的输入文本是固定的)。另外一个类似的工作是 SimSeg(A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language 2022 ECCV),他相对更加直接...
We design an open-vocabulary image segmentation model to organize an image into meaningful regions indicated by arbitrary texts. Recent works (CLIP and ALIGN), despite attaining impressive open-vocabulary classification accuracy with image-level caption labels, are unable to segment visual concepts with...
Open-vocabulary image segmentation has been advanced through the synergy between mask generators and vision-language models like Contrastive Language-Image Pre-training (CLIP). Previous approaches focus on generating masks while aligning mask features with text embeddings during training. In this paper, ...
特征提取模型 隐式字母生成器 提取特征时的扩散步数 mask分类时的扩散模型和判别模型 论文链接:https://openaccess.thecvf.com/content/CVPR2023/html/Xu_Open-Vocabulary_Panoptic_Segmentation_With_Text-to-Image_Diffusion_Models_CVPR_2023_paper.html
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation Jie Qin1,2,3⋆ Jie Wu2⋆ Pengxiang Yan2 Ming Li2 Ren Yuxi2 Xuefeng Xiao2 Yitong Wang2 Rui Wang2 Shilei Wen2 Xin Pan2 Xingang Wang1† 1Institute of Automation, Chinese Academy of Sciences 2B...
Paper tables with annotated results for MaskCLIP++: A Mask-Based CLIP Fine-tuning Framework for Open-Vocabulary Image Segmentation
Open-vocabulary (OV) semantic segmentation has attracted increasing attention in recent years, which aims to recognize objects in an open class set for real-world applications. While prior OV semantic segmentation approaches have relied on additional semantic knowledge derived from vision-language (VL)...
In this paper, we tackle an emerging computer vision task, open-vocabulary universal image segmentation, that aims to perform semantic/instance/panoptic segmentation (background semantic labeling + foreground instance segmentation) for arbitrary categories of text-based descriptions in inference time. We ...
几篇论文实现代码:《Open-Vocabulary Segmentation with Semantic-Assisted Calibration》(CVPR 2024) GitHub: github.com/yongliu20/SCAN [fig4] 《Align3R: Aligned Monocular Depth Estimation for Dynamic ...