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INT8 Table Transformer

Post-training static quantization

ONNX

This repo contains the models for:

  1. Table detection,
  2. Table structure recognition,

The original FP32 PyTorch model comes from bsmock/tatr-pubtables1m-v1.0. The INT8 ONNX models are quantized with Intel® Neural Compressor.

Refer to this link for model preparation, quantization and benchmark scripts.

Test result

Table detection:

INT8 FP32
COCO metrics (AP) 0.9691 0.9706
Model size (MB) 56 111

Table structure recognition:

INT8 FP32
Model size (MB) 56 111
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Dataset used to train Intel/table-transformer-int8-static-inc

Collection including Intel/table-transformer-int8-static-inc