UniCT Depth fuses event and image data with a CNN-Transformer hybrid to improve monocular depth estimation, achieving lower average errors on MVSEC and DENSE benchmarks.
Depth map prediction from a single image using a multi-scale deep network
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UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block
UniCT Depth fuses event and image data with a CNN-Transformer hybrid to improve monocular depth estimation, achieving lower average errors on MVSEC and DENSE benchmarks.