This is the official code for "UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders" a lightweight method to upscale the features of pretrained backbones to create pixel-dense ...
To address the challenges of morphological irregularity and boundary ambiguity in colorectal polyp image segmentation, we propose a Dual-Decoder Pyramid Vision Transformer Network (DDPVT-Net). This ...
Underwater images segmentation is essential for tasks such as underwater exploration, marine environmental monitoring, and resource development. Nevertheless, given the complexity and variability of ...
Deep learning techniques are becoming increasingly popular for materials characterization tasks. Irrespective of the type of output from the characterization tool, whether in the form of images or a ...
For the classification and zoning study of crops at Jianshan Farm, data were acquired by integrating Sentinel-2 optical satellite imagery with Sentinel-1 radar satellite imagery. Different crop ...
China has placed significant emphasis on the maintenance and management of bridges, driven by the extensive development of transportation infrastructure. This focus is a result of the country’s ...
DL4DS (Deep Learning for empirical DownScaling) is a Python package that implements state-of-the-art and novel deep learning algorithms for empirical downscaling of gridded Earth science data. The ...
Aiming at the problem that it is difficult to identify two types of weeds, grass weeds and broadleaf weeds, in complex field environments, this paper proposes a semantic segmentation method with an ...
Guided image filters utilise edge-preserving smoothing to enhance image processing. They operate using a guidance image, which can be the original image or a variant. You may have used or seen filters ...
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