New Zealand will lean heavily on its batting depth and proven match-winners to balance a depleted attack as it attempts to ...

We present DepthFM, a state-of-the-art, versatile, and fast monocular depth estimation model. DepthFM is efficient and can synthesize realistic depth maps within a single inference step. Beyond ...

The underwater images often suffer from color deviations and blurred details. To address these issues, many methods employ networks with an encoder/decoder structure to enhance the images. However, ...

Abstract: With the rapid development of single-photon LiDAR, accurate depth recovery remains a key challenge. Conventional deep learning methods, such as CNNs and ViTs, leverage convolution and ...

Abstract: The problem of insufficient labeled samples has restricted the application of deep learning method in hyperspectral image (HSI) classification tasks. Fusion of remote sensing images from ...