Models 197
YukunZhou/RETFound_mae_natureOCT
This modelcard aims to provide a pre-trained vision foundation model RETFound, pre-trained with Masked Autoencoder.
PekingU/rtdetr_v2_r50vd
The RT-DETRv2 model was proposed in RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer by Wenyu Lv, Yian…
facebook/sam-vit-base
Detailed architecture of Segment Anything Model (SAM).
facebook/sam-vit-huge
Detailed architecture of Segment Anything Model (SAM).
facebook/sam-vit-large
Detailed architecture of Segment Anything Model (SAM).
blueyo0/SAM-Med3D
Our GitHub repo link: https://github.com/uni-medical/SAM-Med3D/tree/main
facebook/sam2.1-hiera-base-plus
Repository for SAM 2: Segment Anything in Images and Videos, a foundation model towards solving promptable visual segmentation in images and…
facebook/sam2.1-hiera-large
Repository for SAM 2: Segment Anything in Images and Videos, a foundation model towards solving promptable visual segmentation in images and…
facebook/sam2.1-hiera-small
Repository for SAM 2: Segment Anything in Images and Videos, a foundation model towards solving promptable visual segmentation in images and…
facebook/sam2.1-hiera-tiny
Repository for SAM 2: Segment Anything in Images and Videos, a foundation model towards solving promptable visual segmentation in images and…
facebook/sam3
SAM 3 is a unified foundation model for promptable segmentation in images and videos. It can detect, segment, and track objects using text o…
nvidia/segformer-b5-finetuned-ade-640-640
SegFormer model fine-tuned on ADE20k at resolution 640x640. It was introduced in the paper SegFormer: Simple and Efficient Design for Semant…
BAAI/SegVol
The SegVol is a universal and interactive model for volumetric medical image segmentation. SegVol accepts point, box, and text prompts while…
google/siglip-base-patch16-224
SigLIP model pre-trained on WebLi at resolution 224x224. It was introduced in the paper Sigmoid Loss for Language Image Pre-Training by Zhai…
google/siglip-so400m-patch14-384
SigLIP model pre-trained on WebLi at resolution 384x384. It was introduced in the paper Sigmoid Loss for Language Image Pre-Training by Zhai…
google/siglip2-base-patch16-224
SigLIP 2 extends the pretraining objective of SigLIP with prior, independently developed techniques into a unified recipe, for improved sema…
google/siglip2-giant-opt-patch16-384
SigLIP 2 extends the pretraining objective of SigLIP with prior, independently developed techniques into a unified recipe, for improved sema…
google/siglip2-large-patch16-256
SigLIP 2 extends the pretraining objective of SigLIP with prior, independently developed techniques into a unified recipe, for improved sema…
google/siglip2-so400m-patch14-384
SigLIP 2 extends the pretraining objective of SigLIP with prior, independently developed techniques into a unified recipe, for improved sema…
google/siglip2-so400m-patch16-512
SigLIP 2 extends the pretraining objective of SigLIP with prior, independently developed techniques into a unified recipe, for improved sema…
ziyanhuang/STU-Net
MrGiovanni/SuPreM
TimJaspersTue/SurgeNetModels
Scaling up self-supervised learning for improved surgical foundation models
rlpddejong/SurgeNetXL_DINOv1-v3
timm/swin_large_patch4_window12_384.ms_in22k
A Swin Transformer image classification model. Pretrained on ImageNet-22k by paper authors.
microsoft/swinv2-large-patch4-window12-192-22k
Swin Transformer v2 model pre-trained on ImageNet-21k at resolution 192x192. It was introduced in the paper Swin Transformer V2: Scaling Up…
google/timesfm-2.0-500m-pytorch
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting…
MahmoodLab/TITAN
\[Journal article\] | \[Github Repo\] | TCGA-UT-8K data | \[Cite\]
MahmoodLab/UNI
UNI2, a successor to UNI, trained on over 200 million images from over 350k diverse H&E and IHC slides has been released! Model weights and…
MahmoodLab/UNI2-h
\[Journal Link\] | \[Open Access Read Link\] | \[Github Repo\] | \[Cite\]