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. 2110.08842
  4. Cited By
Exploring Novel Pooling Strategies for Edge Preserved Feature Maps in
  Convolutional Neural Networks

Exploring Novel Pooling Strategies for Edge Preserved Feature Maps in Convolutional Neural Networks

17 October 2021
Adithya Sineesh
Mahesh Raveendranatha Panicker
ArXivPDFHTML

Papers citing "Exploring Novel Pooling Strategies for Edge Preserved Feature Maps in Convolutional Neural Networks"

4 / 4 papers shown
Title
Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge
  Preserving Autoencoder
Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder
M. Das
Deep Gupta
Petia Radeva
Ashwini M. Bakde
MedIm
12
1
0
18 Oct 2023
A New Multimodal Medical Image Fusion based on Laplacian Autoencoder
  with Channel Attention
A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention
P. Wankhede
M. Das
Deep Gupta
Petia Radeva
Ashwini M. Bakde
MedIm
20
0
0
18 Oct 2023
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
Jan van Gemert
209
232
0
16 Mar 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,645
0
02 Nov 2015
1