本文基于CLIP模型做开放词汇语义分割(Open-Vocabulary Semantic Segmentation)任务。然而,语义分割和分类(分类是CLIP模型训练的粒度)在不同的视觉粒度上执行,即语义分割处理像素,而分类处理图像。为了弥补处理粒度上的差异,我们拒绝使用普遍的单阶段FCN框架,并倡导一个两阶段的语义分割框架,第一阶段提取可泛化的Mask ...
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能之外,还有一种广泛存在且易获得的数据类型,即图像标题(image captions)。和预定义好的类别...
然而,生成mask的模型完全独立于CLIP,生成的mask可能不适合识别,而且会带来较大的计算开销(如Decoupling Zero-Shot Semantic Segmentation,OPEN-VOCABULARY SEMANTIC SEGMENTATION WITH MASK-ADAPTED CLIP等)。 为此,作者充分挖掘CLIP的潜力,提出了side adapter network (SAN),通过端到端的训练使mask预测、识别等操作与CLIP...
CVPR 2024 - SED - A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation 论文:https://arxiv.org/abs/2311.15537 代码:https://github.com/xb534/SED 这篇文章提出了一种名为 SED 的简单编码器解码器,用于结合 CLIP 的 open-vocabulary 能力实现了开放
SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More 31 p. Two-component Dark Matter and low scale Thermal Leptogenesis 128 p. Vector-like quark doublets, weak-basis invariants and CP violation 5 p. Distributed Mixture-of-Agents...
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 ...
It outperforms other state-of-the-art RGB open-vocabulary semantic segmentation methods on multiple RGB-T semantic segmentation benchmarks: +12.1% mIoU on the MFNet dataset, +18.4% mIoU on the MCubeS dataset, and +21.4% mIoU on the Freiburg Thermal dataset. Code will be released at https:...
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)...
Introduction This paper presents a new framework for open-vocabulary semantic segmentation with the pre-trained vision-language model, named Side Adapter Network (SAN). Our approach models the semantic segmentation task as a region recognition problem. A side network is attached to a frozen CLIP mod...
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...