zhixiangwei/ReinPlusPlus

image-segmentation model by zhixiangwei

Open original source ↗

Older snapshot: check the original source for current information.

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

Checkpoints for Rein++: Efficient Generalization and Adaptation for Semantic Segmentation With Vision Foundation Models (IEEE TPAMI 2026). Paper · Inference and evaluation code · Validation report We release the first batch of Rein++ checkpoints and inference and evaluation code for reproducing our paper results. This release includes five Rein-G models based on DINOv3-L and DINOv3-7B, and one Rein-A model, covering experiments in Tables II and VII. All six models have been evaluated on their corresponding validation sets. The remaining checkpoints and training code will be released progressively. Scores are mIoU (%). Paper results and results measured with the release are listed separately. Metric order and settings: All scores use validation sets. ACDC is the arithmetic mean of its night, snow, fog, and rain mIoU values. Table II's DINOv3-L GTAV-only model is planned for a later release. Each model folder contains model.pth, config.py, and manifest.json. The checkpoint contains the Rein adapter…

zhixiangwei/ReinPlusPlus on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-29T09:43:50.729Z

Inside the original model card — Document outline
  1. Rein++
  2. First checkpoint release
  3. Models
  4. Download
  5. Base models
  6. Inference and evaluation
  7. Labels and datasets
  8. Training
  9. License
  10. Citation

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the model card

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

Documentation belongs to its respective authors. Reported project/model license: gpl-3.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

zhixiangwei/ReinPlusPlus is a image-segmentation model repository published by zhixiangwei on Hugging Face. The source reports the reinpp library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
image-segmentation
Library
reinpp
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
gpl-3.0
Access
Not gated by Hugging Face
Created
2026-10-29T06:30:58.000Z
Last modified
2026-10-29T06:39:18.000Z

Compatibility and lineage

Reported languages: en

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-29T06:48:44.800Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related models

isaacmg/kraken-genizah-segmenter

Renesas/FCN-Unet-ONNX

Renesas/HRNetV2-ONNX

Renesas/MobileNetV2-FCN-ONNX