PSRben/VisionHOPE — new model trending #29 on Hugging Face
PSRben released VisionHOPE-T/S/B vision backbone weights for ImageNet, COCO, and ADE20K.
Hugging Face user PSRben published official pretrained checkpoints for VisionHOPE, described as visual backbones that act as self-modifying learning systems. The repository includes tiny, small, and base models for ImageNet-1K classification, COCO detection and instance segmentation with Mask R-CNN, and ADE20K semantic segmentation with UPerNet. A companion paper and code repository are linked; the model card does not report benchmark scores.
- Checkpoints cover VisionHOPE tiny, small, and base variants.
- Tasks include ImageNet-1K, COCO Mask R-CNN, and ADE20K UPerNet.
- Weights, a paper, and training code are publicly linked.
From the original article
1 min read at huggingface.coimage-classification · 137 downloads · 220 likes · license mit
By PSRben · huggingface.co
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.