Spectra-Net: Frequency-Aware Scale Adaptation for Small Object Detection
Spectra-Net is proposed, a novel frequency-aware detection framework that redesigns backbone feature encoding with explicit spectral control and introduces Dynamic Fourier Alignment (DFA), which performs content-adaptive yet frequency-controllable modulation to reshape convolutional responses in the spectral domain.