mmdetection源码和论文略微有些区别,这里是先做检测器Q与Text Feature 的cross attention,然后再进行与Image Feature之间的Deformable Cross Attention。 3.3 Head cls_branches decoder输出的Cross-Modality Feature为 900×256 的tensor,文本特征为一个10×256的tensor 进一步地,在文本处理的时候提取到文本中的名词分别为...
Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, et al. Mmdetection: Open mmlab detection toolbox and benchmark. arXiv preprint arXiv:1906.07155, 2019. Tianqi Chen, Bing Xu, Chiyuan Zhang, and Carlos Guestrin. Tr...
在临近春节前,为了我能够安心过个年,因此在今天把之前遗留的 MM Grounding DINO 的Swin-B 和Swin-L 预训练权重发布了,相信更大的模型会有更好的表现。 地址: https://github.com/open-mmlab/mmdetection/blob/main/configs/mm_grounding_dino/README.mdgithub.com/open-mmlab/mmdetection/blob/main/configs...
OpenMMLab Detection Toolbox and Benchmark. Contribute to AI-LLM2/mmdetection-magic development by creating an account on GitHub.
OpenMMLab Detection Toolbox and Benchmark. Contribute to open-mmlab/mmdetection development by creating an account on GitHub.
DINO uses 900 queries. † indicates models that use 900 queries or 300 queries with 3 patterns which has similar effect with 900 queries. Other DETR-like models except DETR (100 queries) uses 300 queries. ∗ indicates that they are tested using the mmdetection [chen2019mmdetection] ...
mmdetection ├── configs ├── data │ ├── flickr30k_entities │ │ ├── final_flickr_separateGT_train.json │ │ ├── final_flickr_separateGT_train_vg.json │ │ ├── flickr30k_images │ │ │ ├── xxx.jpg │ │ │ ├── ... 4 GRIT-20M The corresponding trainin...
mmdetection / configs / mm_grounding_dino / dataset_prepare_zh-CN.md dataset_prepare_zh-CN.md 43.90 KB 一键复制 编辑 原始数据 按行查看 历史 Android海仔研发 提交于 1年前 . Bump version to 3.3.0 (#11338) 数据准备和处理 MM-GDINO-T 预训练数据准备和处理 1 Objects365 v1 ...
/home/user/mmdetection/grounding_dino_swin-t_pretrain_obj365_goldg_grit9m_v3det_20231204_095047-b448804b.pth The model and loaded state dictdonot match exactly unexpected keyinsourcestate_dict: language_model.language_backbone.body.model.embeddings.position_ids 03/18 14:21:57 - mmengine - ...
使用自己的数据微调Grounding DINO后,测试时发现输入文本只能局限于训练时的固定文本,输入一些额外的描述文本(如颜色等)模型无法理解,请问有哪些方法可以改善这个问题。 mm-assistantbotassignedBIGWangYuDongOct 27, 2023 Collaborator hhaAndroidcommentedOct 30, 2023 ...