# Multi-scale Feature Fusion
Sam2 Hiera Tiny.fb R896
Apache-2.0
SAM2 model based on HieraDet image encoder, focusing on image feature extraction tasks.
Image Segmentation
Transformers

S
timm
84
0
Fpn Tu Resnet18
MIT
A PyTorch-implemented FPN image segmentation model that supports various encoder architectures, suitable for semantic segmentation tasks.
Image Segmentation
Safetensors
F
smp-test-models
217
0
Unetplusplus Tu Resnet18
MIT
A semantic segmentation model based on PyTorch, utilizing an improved UNet++ architecture, suitable for image segmentation tasks.
Image Segmentation
U
smp-test-models
215
0
Unet Tu Resnet18
MIT
Unet image segmentation model implemented in PyTorch, supporting multiple encoder architectures
Image Segmentation
U
smp-test-models
219
0
Leyolo Medium
LeYOLO is an object detection model based on the YOLO architecture, offering multiple size versions (nano, small, medium, large) suitable for real-time object detection tasks.
Object Detection
Transformers

L
lhollard
23
1
Rtdetr R50vd
Apache-2.0
RT-DETR is the first real-time end-to-end object detector, achieving a balance of speed and accuracy surpassing the YOLO series through efficient hybrid encoders and query selection mechanisms
Object Detection
Transformers English

R
PekingU
29.40k
27
Rtdetr R18vd
Apache-2.0
RT-DETR is the first real-time end-to-end object detection Transformer model, achieving efficient NMS-free detection through a hybrid encoder and query selection mechanism
Object Detection
Transformers English

R
PekingU
11.98k
4
Rtdetr R50vd Coco O365
Apache-2.0
RT-DETR is the first real-time end-to-end object detector, achieving 53.1% AP and 108 FPS on the COCO dataset through an efficient hybrid encoder and uncertainty-minimized query selection mechanism.
Object Detection
Transformers English

R
PekingU
111.17k
11
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