PaGE ViT H+ Huge+ flagship teacher; finetuned end to end. Part of the PaGE gaze target estimation family. Backbone: DINOv3 ViT H+ (gated MLP) (derivative of DINOv3, full parameter trained) Params: ~1.7B Scene input: 512×512, Head input: 256×256, Heatmap output: 64×64 Source checkpoint: vithplus ft.pt Self contained weights This checkpoint includes the full DINOv3 backbone weights in its safetensors files. No external DINOv3 weights are downloaded — the DINOv3 model structure is provided by transformers==5.6.2 (built in dinov3 vit ), and the backbone weights here are derivative weights from full parameter training of DINOv3. The model code ( modeling page.py ) is loaded automatically from Octopus1/PaGE via auto map when you pass trust remote code=True . Installation Tested with transformers 5.6.2. Usage Inputs / Outputs See the family README for the full spec. Input dict: images (list of [B,3,512,512] ), head images (list of [sum(Np),3,256,256] ), bboxes (per image list of (xmin,ymin,xmax,ymax) in [0,1] ). Output dict: heatmap (list of [Np,64,64] , sigmoid), inout (list of [Np] , sigmoid). License The PaGE decoder and gaze heads are released under the MIT License (see LICENSE ). The…
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