Multi-Scale Feature Fusion Based on Piecewise Polynomial Activation Function for Image-Text matching
Abstract: Image-text matching remains challenging in big data processing. Matching accuracy is influenced by various factors, including the correlation between images and texts, feature extraction and ...
I have a branch ready that uses exp(x) instead of sin(x) as the y (target) variable. The reason for this is faster and clearer convergence, since exp(x) is well approximated by a Taylor expansion ...
Abstract: Activation functions are pivotal in neural networks, determining the output of each neuron. Traditionally, functions like sigmoid and ReLU have been static and deterministic. However, the ...
TeaCache is an amazing training-free caching approach for accelerating diffusion transformer model inference, which achieves remarkable speedup with negligible image/video quality loss. However, it is ...
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