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Found 6 papers, 5 papers with code
Frequency Dynamic Convolution for Dense Image Prediction
In this work, we introduce Frequency Dynamic Convolution (FDConv), a novel approach that mitigates these limitations by learning a fixed parameter budget in the Fourier domain.
Frequency-aware Feature Fusion for Dense Image Prediction
The offset generator refines large inconsistent features and thin boundaries by replacing inconsistent features with more consistent ones through resampling, while the AHPF generator enhances high-frequency detailed boundary information lost during downsampling.
Technique Report of CVPR 2024 PBDL Challenges
The intersection of physics-based vision and deep learning presents an exciting frontier for advancing computer vision technologies.
When Semantic Segmentation Meets Frequency Aliasing
While positively correlated with the proposed aliasing score, three types of hard pixels exhibit different patterns.
Frequency-Adaptive Dilated Convolution for Semantic Segmentation
Dilated convolution, which expands the receptive field by inserting gaps between its consecutive elements, is widely employed in computer vision.
Instance Segmentation in the Dark
Existing instance segmentation techniques are primarily tailored for high-visibility inputs, but their performance significantly deteriorates in extremely low-light environments.
