4.2 Detection Data 由于我们模型的开放词汇设计,我们可以通过用类名字符串替换整数标签,轻松地将具有不同标签空间的数据集组合起来。对于目标级训练,我们使用总共约200万张图像的公开可用检测数据集(如图所示,OpenImages V4 (OI) [24]、Objects 365 (O365) [35]和/或Visual Genome (VG) [23])。对COCO [27]...
标题:Simple Open-Vocabulary Object Detection with Vision Transformers 论文地址:Simple Open-Vocabulary Object Detection with Vision Transformers 代码链接:github.com/google-resea 简单总结: 本文出发点是想利用现有的图文大模型(比如CLIP)的强大表征能力做目标检测任务,尤其是在长尾问题(long-tailed)和开放词汇(Open...
OWL-ViT 是谷歌于 22 年 5 月提出的一种新的 OVD(Open Vocabulary Detection)算法。传统的检测算法会收到训练时标注类别的限制,无法在推理时检测出训练集中未出现的类别;而 OVD 算法,在推理时可以检测由开放词表定义的任意新类。 在图像分类任务中,通过将简单的模型结构与大规模预训练相结合(如 CLIP),即可在...
For object detection, pre-training and scaling approaches are less well established, especially in the long-tailed and open-vocabulary setting, where training data is relatively scarce. In this paper, we propose a strong recipe for transferring image-text models to open-vocabulary object detection....
Described Object Detection Image Classification Object Object Detection One-Shot Object Detection Open-vocabulary object detection Open Vocabulary Object Detection Datasets Edit MS COCO LVIS Objects365 Description Detection Dataset Results from the Paper Edit Ranked #1 on One-Shot Object Detection on MS...
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...
Learning to prompt for open-vocabulary object detection with vision-language model. In CVPR, 2022. 2 [15] Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman. The pascal visual object classes (voc) challenge. IJCV, 2010. 6 [16] Jun...
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Let C be a simple closed curve in three-dimensional space and S be an open regular surface bounded by C. Then for a vector field u defined on S as well as C, (3.7.11)∮ct⊗uds=∫s(n∧∇u)dS where t is the unit tangent to C, which is assumed to be positively oriented rel...
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation 6016 17:00 ChatGPT生成文本检测 5211 21:00 Invariant Learning via Probability of Sufficient and Necessary Causes 6019 25:00 Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss 6017 23:00 Pre-training...