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

2 January 2024

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

6 / 6 papers shown

Title
VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion Hanqi Zhu Jiajun Deng Yu Zhang J. Ji Qiuyu Mao Houqiang Li Yanyong Zhang 3DPC 35 134 0 29 Nov 2021
PENet: Towards Precise and Efficient Image Guided Depth Completion Mu Hu Shuling Wang Bin Li Shiyu Ning Li Fan Xiaojin Gong MDE 98 273 0 01 Mar 2021
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection Jiajun Deng Shaoshuai Shi Pei-Cian Li Wen-gang Zhou Yanyong Zhang Houqiang Li 3DPC 221 660 0 31 Dec 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 14,047 0 02 Dec 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 201 14,304 0 07 Oct 2016
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 281 36,178 0 08 Jun 2015