WaveNet: Wavelet Network With Knowledge Distillation for RGB-T Salient Object Detection
Zhejiang University of Science and Technology · Nanyang Technological University · +3 more institutions
Abstract
In recent years, various neural network architectures for computer vision have been devised, such as the visual transformer and multilayer perceptron (MLP). A transformer based on an attention mechanism can outperform a traditional convolutional neural network. Compared with the convolutional neural network and transformer, the MLP introduces less inductive bias and achieves stronger generalization. In addition, a transformer shows an exponential increase in the inference, training, and debugging times. Considering a wave function representation, we propose the WaveNet architecture that adopts a novel vision task-oriented wavelet-based MLP for feature extraction to perform salient object detection in RGB…
Citation impact
- FWCI
- 20.23
- Percentile
- 100%
- References
- 106
Authors
5Topics & keywords
- Artificial intelligence
- Computer science
- Pattern recognition (psychology)
- RGB color model
- Feature extraction
- Convolutional neural network
- Feature learning
- Wavelet
- Quality Education