Diversity Knowledge Distillation for LiDAR-Based 3-D Object Detection
Author:
Affiliation:
1. Department of Basic Courses, High-Tech Institute of Xi'an, Xi'an, China
Funder
Natural Science Basic Research Project “Fully Distributed Multi-Objective State Estimation under Information Naive and Spurious Measurements”
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10139852/10040598.pdf?arnumber=10040598
Reference63 articles.
1. PointPillars: Fast Encoders for Object Detection From Point Clouds
2. Improving Convolutional Networks With Self-Calibrated Convolutions
3. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
4. ResNeXt convolution neural network topology-based deep learning model for identification and classification of Pediastrum
5. CIA-SSD: Confident IoU-aware single-stage object detector from point cloud;zheng;arXiv 2012 03015,2020
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