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MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang, Rui Shi, Donglai Wei +5
We introduce MedMNIST v2, a large-scale MNIST-like dataset collection of standardized biomedical images, including 12 datasets for 2D and 6 datasets for 3D. All images are pre-proc…
LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation
Lin Zhao, Hui Zhou, Xinge Zhu +3
Camera and 3D LiDAR sensors have become indispensable devices in modern autonomous driving vehicles, where the camera provides the fine-grained texture, color information in 2D spa…
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
Lin Zhao, Wenbing Tao
In this paper, we propose a novel joint instance and semantic segmentation approach, which is called JSNet, in order to address the instance and semantic segmentation of 3D point c…
Localization-aware Channel Pruning for Object Detection
Zihao Xie, Wenbing Tao, Li Zhu +1
Channel pruning is one of the important methods for deep model compression. Most of existing pruning methods mainly focus on classification. Few of them conduct systematic research…