open vocabulary是指更广义更大的类别范围，就是让detector可以检测，分割、识别多到字典级别的类别。实现...
然而,大多数COCO和O365类别都存在于训练数据中,我们不会删除它们,因为它们构成了可用注释的很大一部分。因此,我们的COCO和O365结果不是"零样本",而是测试我们的模型的开放词汇迁移能力。我们的最佳模型(CLIP L/14;见表1)实现了43.5%的APCOCO;在没有O365的情况下训练的模型版本实现了15.8%的APO365(附录A1.8中的...
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...
Open-vocabulary detection is a challenging task due to the requirement of detecting objects based on class names, including those not encountered during training. Existing methods have shown strong zero-shot detection capabilities through pre-training and pseudo-labeling on diverse large-scale datasets....
Du, Y., Wei, F., Zhang, Z., Shi, M., Gao, Y., & Li, G. (2022). Learning to prompt for open-vocabulary object detection with vision-language model. InProceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp. 14084–14093. ...
Open-vocabulary object detection, which is concerned with the problem of detecting novel objects guided by natural language, has gained increasing attention from the community. Ideally, we would like to extend an open-vocabulary detector such that it can produce bounding box predictions based on user...
Compared to existing methods, IS-Goal improves instance segmentation and boundary detection performance under open-vocabulary. We first validate IS-Goal's effectiveness in open-vocabulary instance segmentation tasks on the MS COCO dataset for identifying and distinguishing new categories from base ...
Open-Vocabulary Semantic Segmentation Fully-Supervised Open-Vocabulary Semantic Segmentation The model is trained on fully-supervised semantic segmentation datasets with pixel-level annotations (e.g., COCO Stuff dataset). Weakly-Supervised Open-Vocabulary Semantic Segmentation ...
(1) Open Vocabulary Semantic Segmentation cd projects/XDecoder python demo.py ../../images/animals.png configs/xdecoder-tiny_zeroshot_open-vocab-semseg_coco.py --weights ../../xdecoder_focalt_last_novg.pt --texts zebra.giraffe (2) Open Vocabulary Instance Segmentation cd projects/XDecoder...
Abstract Pre-trained vision-language models (VLMs) learn to align vision and language representations on large-scale datasets, where each image-text pair usually contains a bag of semantic concepts. However, existing open-vocabulary object detectors only align region embeddings individually with the co...