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Towards lightweight convolutional neural networks for object detection

Towards lightweight convolutional neural networks for object detection

5 July 2017
Dmitriy Anisimov
T. Khanova
    ObjD
ArXivPDFHTML

Papers citing "Towards lightweight convolutional neural networks for object detection"

6 / 6 papers shown
Title
Performance-aware Approximation of Global Channel Pruning for Multitask
  CNNs
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs
Hancheng Ye
Bo Zhang
Tao Chen
Jiayuan Fan
Bin Wang
42
18
0
21 Mar 2023
How to Train an Accurate and Efficient Object Detection Model on Any
  Dataset
How to Train an Accurate and Efficient Object Detection Model on Any Dataset
Galina Zalesskaya
B. Bylicka
Eugene Liu
3DH
39
3
0
30 Nov 2022
Distilling Object Detectors with Fine-grained Feature Imitation
Distilling Object Detectors with Fine-grained Feature Imitation
Tao Wang
Li-xin Yuan
Xiaopeng Zhang
Jiashi Feng
ObjD
13
378
0
09 Jun 2019
Multi-layer Pruning Framework for Compressing Single Shot MultiBox
  Detector
Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector
Pravendra Singh
Manikandan Ravikiran
Neeraj Matiyali
Vinay P. Namboodiri
33
21
0
20 Nov 2018
Smart Surveillance as an Edge Network Service: from Harr-Cascade, SVM to
  a Lightweight CNN
Smart Surveillance as an Edge Network Service: from Harr-Cascade, SVM to a Lightweight CNN
S. Nikouei
Yu Chen
Sejun Song
Ronghua Xu
Baek-Young Choi
Timothy R. Faughnan
40
83
0
24 Apr 2018
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
337
1,049
0
10 Feb 2017
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