BGNet: Optimized for Qualcomm Devices

BGNet or Boundary-Guided Network, is a model designed for camouflaged object detection. It leverages edge semantics to enhance the representation learning process, making it more effective at identifying objects that blend into their surroundings

This is based on the implementation of BGNet found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.

Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.

Getting Started

Due to licensing restrictions, we cannot distribute pre-exported model assets for this model. Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:

• Custom weights (e.g., fine-tuned checkpoints)
• Custom input shapes
• Target device and runtime configurations

See our repository for BGNet on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.semantic_segmentation

Model Stats:

• Model checkpoint: BGNet
• Input resolution: 416x416
• Number of parameters: 77.8M
• Model size (float): 297 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
BGNet	ONNX	float	Snapdragon® X Elite	19.133 ms	154 - 154 MB	NPU
BGNet	ONNX	float	Snapdragon® 8 Gen 3 Mobile	13.733 ms	3 - 249 MB	NPU
BGNet	ONNX	float	Qualcomm® QCS8550 (Proxy)	18.77 ms	0 - 161 MB	NPU
BGNet	ONNX	float	Qualcomm® QCS9075	34.55 ms	2 - 7 MB	NPU
BGNet	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	10.969 ms	3 - 176 MB	NPU
BGNet	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	9.206 ms	1 - 182 MB	NPU
BGNet	ONNX	w8a16	Snapdragon® X Elite	12.075 ms	78 - 78 MB	NPU
BGNet	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	8.779 ms	2 - 352 MB	NPU
BGNet	ONNX	w8a16	Qualcomm® QCS6490	2710.461 ms	327 - 384 MB	CPU
BGNet	ONNX	w8a16	Qualcomm® QCS8550 (Proxy)	11.98 ms	0 - 561 MB	NPU
BGNet	ONNX	w8a16	Qualcomm® QCS9075	14.447 ms	1 - 4 MB	NPU
BGNet	ONNX	w8a16	Qualcomm® QCM6690	1254.75 ms	267 - 282 MB	CPU
BGNet	ONNX	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	6.96 ms	2 - 214 MB	NPU
BGNet	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	1251.117 ms	220 - 231 MB	CPU
BGNet	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	5.159 ms	0 - 214 MB	NPU
BGNet	ONNX	w8a8	Snapdragon® X Elite	6.222 ms	78 - 78 MB	NPU
BGNet	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	4.466 ms	0 - 281 MB	NPU
BGNet	ONNX	w8a8	Qualcomm® QCS6490	446.974 ms	49 - 158 MB	CPU
BGNet	ONNX	w8a8	Qualcomm® QCS8550 (Proxy)	6.373 ms	0 - 83 MB	NPU
BGNet	ONNX	w8a8	Qualcomm® QCS9075	7.517 ms	0 - 4 MB	NPU
BGNet	ONNX	w8a8	Qualcomm® QCM6690	395.944 ms	52 - 68 MB	CPU
BGNet	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	3.796 ms	0 - 177 MB	NPU
BGNet	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	328.101 ms	28 - 40 MB	CPU
BGNet	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	3.095 ms	0 - 178 MB	NPU
BGNet	QNN_DLC	float	Snapdragon® X Elite	20.02 ms	2 - 2 MB	NPU
BGNet	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	14.126 ms	0 - 310 MB	NPU
BGNet	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	115.222 ms	2 - 238 MB	NPU
BGNet	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	19.65 ms	2 - 4 MB	NPU
BGNet	QNN_DLC	float	Qualcomm® SA8775P	31.764 ms	2 - 237 MB	NPU
BGNet	QNN_DLC	float	Qualcomm® QCS9075	37.248 ms	2 - 6 MB	NPU
BGNet	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	39.088 ms	0 - 260 MB	NPU
BGNet	QNN_DLC	float	Qualcomm® SA7255P	115.222 ms	2 - 238 MB	NPU
BGNet	QNN_DLC	float	Qualcomm® SA8295P	34.339 ms	2 - 195 MB	NPU
BGNet	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	11.059 ms	2 - 234 MB	NPU
BGNet	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	8.697 ms	2 - 245 MB	NPU
BGNet	QNN_DLC	w8a16	Snapdragon® X Elite	12.967 ms	1 - 1 MB	NPU
BGNet	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	9.094 ms	0 - 393 MB	NPU
BGNet	QNN_DLC	w8a16	Qualcomm® QCS6490	61.717 ms	1 - 4 MB	NPU
BGNet	QNN_DLC	w8a16	Qualcomm® QCS8275 (Proxy)	36.589 ms	1 - 259 MB	NPU
BGNet	QNN_DLC	w8a16	Qualcomm® QCS8550 (Proxy)	12.406 ms	1 - 3 MB	NPU
BGNet	QNN_DLC	w8a16	Qualcomm® SA8775P	12.83 ms	1 - 260 MB	NPU
BGNet	QNN_DLC	w8a16	Qualcomm® QCS9075	15.088 ms	1 - 4 MB	NPU
BGNet	QNN_DLC	w8a16	Qualcomm® QCM6690	200.187 ms	1 - 362 MB	NPU
BGNet	QNN_DLC	w8a16	Qualcomm® QCS8450 (Proxy)	20.716 ms	1 - 377 MB	NPU
BGNet	QNN_DLC	w8a16	Qualcomm® SA7255P	36.589 ms	1 - 259 MB	NPU
BGNet	QNN_DLC	w8a16	Qualcomm® SA8295P	20.431 ms	1 - 258 MB	NPU
BGNet	QNN_DLC	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	6.88 ms	1 - 251 MB	NPU
BGNet	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	23.422 ms	1 - 340 MB	NPU
BGNet	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	5.914 ms	1 - 258 MB	NPU
BGNet	QNN_DLC	w8a8	Snapdragon® X Elite	6.449 ms	0 - 0 MB	NPU
BGNet	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	4.419 ms	0 - 318 MB	NPU
BGNet	QNN_DLC	w8a8	Qualcomm® QCS6490	26.543 ms	2 - 5 MB	NPU
BGNet	QNN_DLC	w8a8	Qualcomm® QCS8275 (Proxy)	17.966 ms	1 - 212 MB	NPU
BGNet	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	6.205 ms	1 - 2 MB	NPU
BGNet	QNN_DLC	w8a8	Qualcomm® SA8775P	6.601 ms	1 - 214 MB	NPU
BGNet	QNN_DLC	w8a8	Qualcomm® QCS9075	7.502 ms	1 - 3 MB	NPU
BGNet	QNN_DLC	w8a8	Qualcomm® QCM6690	112.998 ms	1 - 290 MB	NPU
BGNet	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	9.531 ms	0 - 318 MB	NPU
BGNet	QNN_DLC	w8a8	Qualcomm® SA7255P	17.966 ms	1 - 212 MB	NPU
BGNet	QNN_DLC	w8a8	Qualcomm® SA8295P	10.032 ms	1 - 214 MB	NPU
BGNet	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	3.577 ms	0 - 211 MB	NPU
BGNet	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	11.111 ms	1 - 285 MB	NPU
BGNet	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	2.843 ms	1 - 215 MB	NPU
BGNet	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	14.439 ms	1 - 457 MB	NPU
BGNet	TFLITE	float	Qualcomm® QCS8275 (Proxy)	113.713 ms	1 - 301 MB	NPU
BGNet	TFLITE	float	Qualcomm® QCS8550 (Proxy)	19.606 ms	1 - 4 MB	NPU
BGNet	TFLITE	float	Qualcomm® SA8775P	31.741 ms	1 - 303 MB	NPU
BGNet	TFLITE	float	Qualcomm® QCS9075	34.936 ms	1 - 159 MB	NPU
BGNet	TFLITE	float	Qualcomm® QCS8450 (Proxy)	37.065 ms	1 - 415 MB	NPU
BGNet	TFLITE	float	Qualcomm® SA7255P	113.713 ms	1 - 301 MB	NPU
BGNet	TFLITE	float	Qualcomm® SA8295P	32.914 ms	1 - 261 MB	NPU
BGNet	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	11.381 ms	0 - 300 MB	NPU
BGNet	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	8.535 ms	1 - 311 MB	NPU

References

• BGNet: Boundary-Guided Camouflaged Object Detection (IJCAI 2022)
• Source Model Implementation

Community

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