open-vocabulary object detection综述 Open-vocabulary object detection refers to the task of detecting and localizing objects in images or videos without relying on a pre-defined set of object categories. In traditional object detection approaches, a fixed set of object categories is predefined, and ...
stage 2: use annotated boxes for several classes to train object detection; stage 3: inference which can detect objects beyond the base classes; to summarize, we train a model that takes an image and detects any object withina given target vocabulary VT. Task Definition: test on target vocabu...
Open-Vocabulary Object Detection (OVD) tasks have been advanced by enhancing the regional representation capability of the Constrastive Language-Image Pre-training (CLIP). However, as CLIP is trained with image-text pairs, lacking precise object location information, merely enhancing the regional ...
此外,我们进一步开发了一种自我训练机制,它能够从大量未管理的外部图像语料库中迭代获取高质量的候选图像,并对检测器进行自我训练。 In this work, we propose an open-vocabulary object detector PromptDet, which is able to detect novel categories without any manual annotations. Specifically, we first use th...
分2阶段,Localized Semantic Matching(LSM)和 Specialized Task Tuning(STT),LSM通过image-region和caption中的word匹配来学到object的语义,STT使用object annotations针对目标检测任务学习视觉特征。 可以理解为LSM通过image-region和word细粒度的对齐 学习语义的视觉特征提取 和RPN Proposal提取模型 及 语义丰富的image embe...
Open-vocabulary detection (OVD) is an object detection task aiming at detecting objects from novel categories beyond the base categories on which the detector is trained. Recent OVD methods rely on large-scale visual-language pre-trained models, such as CLIP, for recognizing novel objects. We ide...
In this work, we pioneer the study of open-vocabulary monocular 3D object detection, a novel task that aims to detect and localize objects in 3D space from a single RGB image without limiting detection to a predefined set of categories.29...
Object DetectionZero-Shot Object Detection Datasets MS COCOLVISMSCOCO Results from the Paper Edit Ranked #4 onZero-Shot Object Detection on MSCOCO(using extra training data) Get a GitHub badge TaskDatasetModelMetric NameMetric ValueGlobal RankUses Extra ...
Generative Region-Language Pretraining for Open-Ended Object Detection In recent research, significant attention has been devoted to the open-vocabulary object detection task, aiming to generalize beyond the limited number of ... C Lin,Y Jiang,L Qu,... - IEEE 被引量: 0发表: 2024年 Prompt-...
Cai, Z., & Vasconcelos, N. (2018). Cascade r-cnn: Delving into high quality object detection. InProceedings of the IEEE conference on computer vision and pattern recognition, pp. 6154–6162. Carreira, J., & Sminchisescu, C. (2011). CPMC: Automatic object segmentation using constrained pa...