图像分割的任务主要包括语义分割,实例分割,以及全景分割,在open vocabulary segmentation领域,这些任务之间能否彼此促进,以及来自不同任务的数据集能否通过共同训练促进彼此任务的性能提升,是一个值得探究的问题。数个工作提出了universal的模型,它们通常以一个Transformer架构产生隶属于不同任务的输出,可以同时在多个任务的数据...
开放词汇设置与传统的闭集设置的不同之处在于,需要一个模型来定位远远超出训练词汇的大量前景目标。然而,事实是,我们的解码器包含有限数量的前景查询(通常只有几百个),这使得它很难处理图像中所有可能的概念。为了解决这个问题,我们提出了一种称为语言引导的前景查询选择的方法,以根据给定的文本概念自适应地选择查询,...
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...
2023arXivvlm.,open.DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode 3D Detection Acknowledgement If you find our survey and repository useful for your research project, please consider citing our paper: @article{wu2023open,title={Towards Open Vocabulary Learning: A Survey},au...
nlpcomputer-visionimage-captioningclipblipmultimodalzero-shot-detectionfoundational-modelsllavasegment-anythingopen-vocabulary-detectionopen-vocabulary-segmentationgrounding-dino UpdatedFeb 29, 2024 Python segments-ai/panoptic-segment-anything Star396 Code
Open-vocabulary segmentation (OV-S) encompasses several distinct technical approaches. Visual Language Models (VLMs) have demonstrated strong performance by learning to interpret visual language expressions for classification tasks, thereby facilitating transfer to OV-S [68], [69], [70], [71]. Anoth...
地址如下：Towards Open Vocabulary Learning: A Survey 原回答：open vocabulary是指更广义更大的类别范围...
This paper studies open-vocabulary segmentation (OVS) through calibrating in-vocabulary and domain-biased embedding space with generalized contextual prior of CLIP. As the core of open-vocabulary understanding, alignment of visual content with the semantics of unbounded text has become the bottleneck of...
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...
Open-vocabulary detection (OVD) aims to generalize beyond the limited number of base classes labeled during the training phase. The goal is to detect novel classes defined by an unbounded (open) vocabulary at inference.Benchmarks Add a Result These leaderboards are used to track progress in ...