表格3a显示了当Pascal Part是唯一可用的人工标注部分数据集时,使用IN-S11数据可以提高PartImageNet的性能。 基线(来自Pascal Part):基线方法直接使用在Pascal Part上训练的模型来评估PartImageNet。如表格3a的第一行所示,性能较差,例如,四足动物的身体和脚部几乎为零。Pascal Part没有四足动物等语义标签,模型需要从Pasca...
失踪人口归来, 今天给jrm分享一篇cvpr2023的分割paper:《Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models》ODISE[2]格局打开! 先不着急看论文, 笔者这里简单唠几句. 早在读书做目标检测的时候, 就感觉background(以下简称bg)这个类承受了太多,任何object的非正样本都是bg !jrm要发话了,...
•据我们所知,ODISE是第一个为开放词汇分词任务探索大规模文本到图像扩散模型的工作。 •我们提出了一种新的管道来有效地利用文本图像扩散和判别模型来执行开放词汇全视分割。 •我们通过在许多开放词汇识别任务上超越所有现有基线,显著推进了该领域的发展,从而在该领域建立了一个新的艺术状态。 2 Related Work:...
· [CVPR23 Highlight] Side Adapter Network for Open-Vocabulary Semantic Segmentation论文阅读笔记 · CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation论文阅读笔记 · LLM大模型: Maskformer/Mask2Former语义分割原理详解 · ECCV 2022 | k-means Mas...
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...
Motivated by this finding, we ask the question of whether Internet-scale text-to-image diffusion models can be exploited to create universal open-vocabulary panoptic segmentation learner for any concept in the wild? To this end, we propose ODISE: Open-vocabulary DIf...
4.2. Open-Vocabulary Benchmarking 4.3. Direct and Task-Specific Transfer 4.4. Segmentation and Detection in the Wild 4.5. Ablation 5. Conclusion 我们提出了OpenSeeD,这是一个简单的开放式词汇分割和检测框架,它使用单个模型从不同的分割和检测数据集中联合学习。为了弥补前台目标和后台对象之间的任务差距,我们...
deep-learning pytorch semantic-segmentation zero-shot-learning instance-segmentation panoptic-segmentation open-world-classification diffusion-models text-image-retrieval open-vocabulary open-vocabulary-semantic-segmentation open-world-object-detection open-vocabulary-segmentation Updated Jul 6, 2024 Python Skals...
OV-PARTS is a benchmark for Open-Vocabulary Part Segmentation by using the capabilities of large-scale Vision-Language Models (VLMs).Benchmark Datasets: Two refined versions of two publicly available datasets: Pascal-Part-116 ADE20K-Part-234 Benchmark Tasks: Three specific tasks which provides ...
Title:Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models,出自CVPR2023,是一篇highlight HomePage Project Idea text-to-image diffusion为了将图像生成过程限制在提供的文本上,diffusion计算文本嵌入与其内部视觉表示之间的cross-attention。这样的设计让diffusion model能够很好的区分不同语义并且与中...