Q-YOLOP: Quantization-aware You Only Look Once for Panoptic Driving
Perception

Q-YOLOP: Quantization-aware You Only Look Once for Panoptic Driving Perception

10 July 2023

Chi-Chih Chang

Wei-Cheng Lin

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Papers citing "Q-YOLOP: Quantization-aware You Only Look Once for Panoptic Driving Perception"

9 / 9 papers shown

Title
Designing Network Design Strategies Through Gradient Path Analysis Chien-Yao Wang Hongpeng Liao I-Hau Yeh 74 237 0 09 Nov 2022
YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception Cheng Han Qichao Zhao Shuyi Zhang Yinzi Chen Zhenlin Zhang Jinwei Yuan 80 71 0 24 Aug 2022
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors Chien-Yao Wang Alexey Bochkovskiy H. Liao ObjD 170 6,596 0 06 Jul 2022
HybridNets: End-to-End Perception Network Dat Vu Bao Ngo H. Phan 86 81 0 17 Mar 2022
YOLOP: You Only Look Once for Panoptic Driving Perception Dongsheng Wu Man-Wen Liao Wei-Tian Zhang Xinggang Wang X. Bai Wenqing Cheng Wen-Yu Liu 147 308 0 25 Aug 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding Xinming Zhang Ningning Ma Jungong Han Guiguang Ding Jian Sun 300 1,603 0 11 Jan 2021
YOLOv4: Optimal Speed and Accuracy of Object Detection Alexey Bochkovskiy Chien-Yao Wang H. Liao VLM ObjD 178 12,317 0 23 Apr 2020
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 170 3,148 0 15 Dec 2017
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun ObjD 418 11,254 0 18 Jun 2014

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