In this paper, we propose the multi-fusion framework with two kinds of attention mechanisms to solve the above problem and improve the detection accuracy of 3d ...

We propose a multi-layer feature fusion framework based on attention mechanism, which takes 3D point cloud and 2D image as inputs for 3D object detection.

This paper proposes a multimodal fusion 3D target detection algorithm based on the attention mechanism to improve the performance of 3D target detection.

Nov 7, 2023 · The mmFUSION framework preserves multi-modal information and learns to complement modalities' deficiencies through attention weights. The strong ...

We present a novel method to generate 3D scenes that allow the same activities as real environments captured through noisy and incomplete 3D scans. As robust ...

In this paper, we propose High-order Attention Mechanism Fusion Networks (HAMFNs) for image expression and multi-scale learning, based on a novel high-order ...

May 23, 2022 · In this paper, we propose a method named MA-MFFC that uses an attention mechanism and a multi-scale feature fusion network with ConvNeXt module ...

This paper proposes a multimodal fusion 3D target detection algorithm based on the attention mechanism to improve the performance of 3D target detection.

Aug 26, 2024 · We propose a novel two-stage 3D object detector, called Point-Voxel Attention Fusion Network (PVAFN). PVAFN leverages an attention mechanism to improve multi- ...

Apr 26, 2023 · To address this, we propose a fusion module based on the Depth Attention Mechanism (DAM), which mainly consists of two operations: gated feature ...