Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts - SAM-Adapter-PyTorch/requirements.txt at main · tianrun-chen/SAM-Adapter-PyTorch
main 1Branch 0Tags Code This branch is up to date withtianrun-chen/SAM-Adapter-PyTorch:main. README License SAM-Adapter: Adapting SAM in Underperformed Scenes (!!Now Support SAM2 in "SAM2-Adapter" Branch!!) Tianrun Chen, Lanyun Zhu, Chaotao Ding, Runlong Cao, Yan Wang, Shangzhan Zhang...
对于几个基于卷积的 Adapter ,在SAM或CLIP Backbone 中添加额外的卷积层,以进行公平的比较。默认情况下,采用SAM-huge和CLIP R50x16。 实现细节。使用PyTorch实现Open-Vocabulary SAM,同时使用MMDetection框架和SAM代码库。使用8个A100 GPU进行分布式训练。每个mini-batch包含每个GPU上的两个图像。优化器使用AdamW,权重衰...
对于几个基于卷积的 Adapter ,在SAM或CLIP Backbone 中添加额外的卷积层,以进行公平的比较。默认情况下,采用SAM-huge和CLIP R50x16。 实现细节。使用PyTorch实现Open-Vocabulary SAM,同时使用MMDetection框架和SAM代码库。使用8个A100GPU进行分布式训练。每个mini-batch包含每个GPU上的两个图像。优化器使用AdamW,权重衰减...
那么我们对21类进行分割,新的maskdecoder输出大小应该为[ 1, 21, 256, 256 ],通过output_hypernetworks_mlps此模块实现,这也呼应了文章开头提到的模型需要优化的参数层为mask_adapter.decoder_head.output_hypernetworks_mlps。 原始图像经过处理后得到了1 * 3 * 1024 * 1024的tensor,为了计算损失函数我们需要对...
(NLP) to fine-tune the fundamental pre-trained model for various downstream tasks. The main idea of Adaption is to insert Adapter modules with partial parameters into the original model and only update a small number of additional Adapter parameters while keeping the large pre-trained model ...
Few-shot segmentation task is trained for 50 epochs on a single NVIDIA A40 GPU and fully supervised segmentation task is trained for 50 epochs using PyTorch on a single NVIDIA RTX 3090 GPU. 4.2. Main Results Results on Few-shot Medical Image Segm...
4. S. Gong et al., “3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable medical image segmentation,” arXiv preprint arXiv:2306.13465, 2023. [Google Scholar] 5. Y. Gao, W. Xia, D. Hu, and X. Gao, “DeSAM: Decoupling segment anything model for generalizable med...
[ECCV2024] Official implementation of Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes - CrowdSAM/crowdsam/model.py at main · FelixCaae/CrowdSAM
[ECCV2024] Official implementation of Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes - CrowdSAM/crowdsam.py at main · FelixCaae/CrowdSAM