Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 122, P. 110007 - 110007
Published: Dec. 16, 2024
Language: Английский
Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 122, P. 110007 - 110007
Published: Dec. 16, 2024
Language: Английский
Published: Jan. 1, 2025
Most RGB-D-T SOD models are committed to constructing complex feature extraction and multi-modal fusion modules for dealing with scenarios that RGB unable handle. However, they neglect the portability mobility of models. To facilitate practical applications, we introduce LMFNet, a lightweight model. We reduce base channels focus on building multi-level, multi-scale module ensure model can effectively extract most discriminative features across multiple scales, achieving overall low-parameter high-efficiency performance. Concretely, use three parameter sharing encoders from RGB, depth, thermal modalities, which significantly reduces number parameters required. In addition, simplify task, designed an efficient performed in order first fusing depth features, then result image feature. This approach helps risk important information being overshadowed during process. Then, improve model's performance, fuse different levels at varying allowing each layer contain rich detail semantic information.Different incorporate scales. Finally, employ decoder progressively decode multi-level obtained previous stage. this process, fused integrated coarse fine, gradually predicting precise salient object boundaries. Extensive experiments demonstrate our strikes optimal balance between processing speed Specifically, model, only 2.7M parameters, achieves 202 FPS NVIDIA 2080ti 352 × input size while maintaining superior The code is available https://github.com/banjamn/LMFNet.
Language: Английский
Citations
0Computers & Electrical Engineering, Journal Year: 2025, Volume and Issue: 123, P. 110236 - 110236
Published: March 9, 2025
Language: Английский
Citations
0Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 122, P. 109928 - 109928
Published: Dec. 13, 2024
Language: Английский
Citations
1Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 122, P. 110007 - 110007
Published: Dec. 16, 2024
Language: Английский
Citations
0