MVT-B outperforms the other variants due to its higher-resolution feature scale information, resulting in superior performance in detecting small objects.
This work introduces the Multi-Vision Transformer (MVT), which comprises three efficiently designed components: the downsampling module, the Channel Spatial ...
This paper proposes a method called Multi Vision Transformer (MVT), which employs Channel Spatial Attention (CSA) to enhance short-range dependencies and ...
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MVT: Multi-Vision Transformer for Event-Based Small Target Detection [Paper]; EvHandPose: Event-based 3D Hand Pose Estimation with Sparse Supervision [Paper] ...
Prediction examples on the EOD dataset. The MVT-B/S/T variants are applied to detect in normal, motion blur, and low-light scenarios, respectively.
Inspired by the great success achieved by CNN in image recognition, view-based methods applied CNNs to model the projected views for 3D object understanding and.
Missing: Target Detection.
This folder contains the PyTorch code for our BMVC 2021 paper MVT: Multi-view Vision Transformer for 3D Object Recognition by Shuo Chen, Tan Yu, and Ping Li.
Missing: Event- | Show results with:Event-
It consists of records from synchronized event camera, high frame rate camera and Vicon motion capture system, with each sequence recording multiple action ...
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In this work, we introduce the Multi-Vision Transformer (MVT), which comprises three efficiently designed components: the downsampling module, the Channel ...