mlsanityData to 7 Oct 2026

Hybrid Pooling and Convolutional Network for Improving Accuracy and Training Convergence Speed in Object Detection

arXiv 2401.01134 ↗First posted 2 Jan 2024cs.CVcited by 0

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Abstract (arXiv)

This paper introduces HPC-Net, a high-precision and rapidly convergent object detection network.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 34 of its 48 references that are in the map. First posted on arXiv 2 Jan 2024.

Builds on

34 of 48 references.

References · 34

  1. 2017Attention Is All You Needcited by 59,932
  2. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  3. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  4. 2016PointNet: Deep Learning on Point Sets for 3D Classification and Segmentationcited by 5,223
  5. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,829
  6. 2017PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spacecited by 4,384
  7. 2015SSD: Single Shot MultiBox Detectorcited by 3,125
  8. 2015Fast R-CNNcited by 2,930
  9. 2019Scalability in Perception for Autonomous Driving: Waymo Open Datasetcited by 2,436
  10. 2016Xception: Deep Learning with Depthwise Separable Convolutionscited by 2,320
  11. 2017Deformable Convolutional Networkscited by 1,481
  12. 2017VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detectioncited by 1,323
22 more
  1. 2021Swin Transformer V2: Scaling Up Capacity and Resolutioncited by 1,215
  2. 2019PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detectioncited by 890
  3. 2016Multi-View 3D Object Detection Network for Autonomous Drivingcited by 721
  4. 2014Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognitioncited by 719
  5. 2020Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detectioncited by 409
  6. 20203D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detectioncited by 176
  7. 2021PENet: Towards Precise and Efficient Image Guided Depth Completioncited by 146
  8. 2021SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloudcited by 119
  9. 2021Improving 3D Object Detection with Channel-wise Transformercited by 108
  10. 2022Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completioncited by 82
  11. 2023Virtual Sparse Convolution for Multimodal 3D Object Detectioncited by 81
  12. 2023LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusioncited by 80
  13. 2022Transformation-Equivariant 3D Object Detection for Autonomous Drivingcited by 52
  14. 2021VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusioncited by 48
  15. 2021AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsamplingcited by 47
  16. 2022Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graphcited by 42
  17. 2020DO-Conv: Depthwise Over-parameterized Convolutional Layercited by 28
  18. 2021Refining activation downsampling with SoftPoolcited by 26
  19. 2022GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimationcited by 24
  20. 2022A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attackscited by 22
  21. 2023Unleash the Potential of Image Branch for Cross-modal 3D Object Detectioncited by 11
  22. 2023Spatial-Temporal Graph Enhanced DETR Towards Multi-Frame 3D Object Detectioncited by 8

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