ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1707.01395
  4. Cited By
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"

4 / 4 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-Wen Zhang
Tao Chen
Jiayuan Fan
Bin Wang
32
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
34
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
377
0
09 Jun 2019
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
1