How to identify and segment camouflaged objects from the background is challenging. Inspired by the multi-head self-attention in Transformers, we present a simple masked separable attention (MSA) for ...
SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...
Abstract: Cross-modal fusion methods enhance the 3-D object detection by leveraging multimodal complementarity. However, current methods, which seek to establish pointwise or region of interest-wise ...
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