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DEF-rgbtcc
ilessio-aiflowlab/DEF-rgbtcc
DEF-rgbtcc is a machine learning model from ilessio-aiflowlab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch.
Dual-Modulation Framework for RGB-T Crowd Counting via Spatially Modulated Attention and Adaptive Fusion.
Access
Public
Updated Apr 5, 2026
Parameters
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Repo makeup
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.trt244 MB · 37%
At a glance
- Library
- pytorch
- Access
- Public
- Created
- Apr 4, 2026
- Updated
- Apr 5, 2026
- SHA
- cd10abb2
Datasets
Model card
From the Hugging Face model README
DEF-rgbtcc: RGB-T Crowd Counting
Dual-Modulation Framework for RGB-T Crowd Counting via Spatially Modulated Attention and Adaptive Fusion.
Paper: ArXiv 2509.17079
Architecture
- Backbone: Shared VGG-19
- Encoder: Spatially Modulated Attention (SMA) Transformer
- Fusion: Adaptive Cross-Modal Fusion (ACMF)
- Output: Density map regression
Available Formats
model.pth— PyTorch state dictmodel.safetensors— SafeTensors formatmodel.onnx— ONNX (opset 17)model_fp16.trt— TensorRT FP16model_fp32.trt— TensorRT FP32
Usage
from def_rgbtcc.serve import RGBTCCInference
model = RGBTCCInference("model.pth")
result = model.predict(rgb_image, thermal_image)
print(f"Count: {result['count']:.1f}")
ANIMA Module
Part of the ANIMA Defense Module ecosystem (Wave 8). Products: ORACLE, ATLAS, NEMESIS
- Library
- pytorch
- Created
- Apr 4, 2026
- Updated
- Apr 5, 2026