(right), prompt tuning on GLIP almost matches full fine-tuning, while linear probing a conventional object detection cannot. This makes deploying GLIP efficient : one GLIP model can simultaneously perform well o
统一的数据内容:image+box+prompt 2.1.1 object detect数据转统一格式,补充prompt 所有目标检测数据所有label的集合作为label(用于图中和每个label计算相似度) 2.2.2 grounding数据转统一格式:自动生成box,怎么生成box? GLIP-T (A) is based on a SoTA detection model, Dynamic Head [10], with our word-regio...
通过将object detection重新表述为phrase grounding,从而统一detection与grounding。重新表述改变了 测模型的输入:它不仅接受图像输入,还接受描述检测任务中所有候选类别的text prompt。例如,COCO对象检测的文本提示符[37]是一个由80个短语组成的文本字符串,即80个COCO对象类名,由“”连接。如图2(左)所示。任何object det...
Here, a terminal position detection sensor 102 or an observer position detection sensor 103 detects a relative positional relationship between the observer's eye observing the image formed by the light emitted from the light source array 101 a, and the light source array 101 a and the light ...
1）提升了phrase grounding的表现；2）使得图像特征的学习与文字特征产生关联，从而让ext prompt可以影响...
GPUImageBeautifyFilter是基于GPUImage的实时美颜滤镜中的美颜滤镜,包括GPUImageBilateralFilter、GPUImageCannyEdgeDetectionFilter、GPUImageCombinationFilter、GPUImageHSBFilter。 绘制流程 绘制流程图 1、GPUImageVideoCamera捕获摄像头图像 调用newFrameReadyAtTime: atIndex:通知GPUImageBeautifyFilter; ...
"object" }, "Detector": { "enum": [ "default", "dbconvnext", "ctd", "craft", "paddle", "none" ], "title": "Detector", "type": "string" }, "DetectorConfig": { "properties": { "detector": { "$ref": "#/$defs/Detector", "default": "default" }, "detection_size": {...
1、将object detection表述成 grounding, 统一了detection与grounding模型不仅仅接受图像输入,还要描述检测目标的text prompt 2、 结构和CLIP相似,为双编码器结构。在最后一点乘融合时不同。 GLIP采用的是深度跨模态融合 3、使用大量的图像-文本数据扩展,现通过教师模型 自动为大量图像-文本配对数据生成grounding boxes来...
将object模型转为grounding的办法:通过prompt的方式将标签名转化为短语。 计算得到文本特征和图像特征的相似度之后,直接与 GT 计算对齐损失(alignment loss)即可,定位损失(Localization loss)也是直接与GT 框计算。 模型中间的融合层(fusion)是为了增加图像编码器和文本编码器之间的特征交互,使得最终的图像-文本联合特征空...
Object DetectionSemantic Segmentation 3D Medical Semantic Segmentation Explaining similarity to other images / embeddings CLIP Explaining the text prompt "a dog"Explaining the text prompt "a cat" Classification Resnet50: CategoryImageGradCAMAblationCAMScoreCAM ...