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SSS3D: Fast Neural Architecture Search For Efficient Three-Dimensional Semantic Segmentation

arXiv 2304.11207 ↗First posted 21 Apr 2023cs.CV cs.AIcited by 0

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Abstract (arXiv)

We present SSS3D, a fast multi-objective NAS framework designed to find computationally efficient 3D semantic scene segmentation networks. It uses RandLA-Net, an off-the-shelf point-based network, as a super-network to enable weight sharing and reduce search time by 99.67% for single-stage searches. SSS3D has a complex search space composed of sampling and architectural parameters that can form 2.88 * 10^17 possible networks. To further reduce search time, SSS3D splits the complete search space and introduces a two-stage search that finds optimal subnetworks in 54% of the time required by single-stage searches.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 32 of its 43 references that are in the map. First posted on arXiv 21 Apr 2023.

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32 of 43 references.

References · 32

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20 more
  1. 2019Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentationcited by 258
  2. 2017SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloudcited by 231
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  5. 2020SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentationcited by 170
  6. 2021(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Networkcited by 164
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  9. 2018Searching for Efficient Multi-Scale Architectures for Dense Image Predictioncited by 96
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  11. 2021PointMixer: MLP-Mixer for Point Cloud Understandingcited by 71
  12. 2020Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platformcited by 40
  13. 2020NAS-Count: Counting-by-Density with Neural Architecture Searchcited by 36
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  15. 2021Deep Learning Based 3D Segmentation: A Surveycited by 30
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  19. 2019SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentationcited by 7
  20. 2020LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networkscited by 7

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