Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation

22 October 2021

Papers citing "Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation"

11 / 11 papers shown

Title
Enhancing Layer Attention Efficiency through Pruning Redundant Retrievals Hanze Li Xiande Huang 43 0 0 09 Mar 2025
Strengthening Layer Interaction via Dynamic Layer Attention Kaishen Wang Xun Xia Jian Liu Zhang Yi Tao He 25 3 0 19 Jun 2024
Gramian Attention Heads are Strong yet Efficient Vision Learners Jongbin Ryu Dongyoon Han J. Lim 30 1 0 25 Oct 2023
Understanding Self-attention Mechanism via Dynamical System Perspective Zhongzhan Huang Mingfu Liang Jinghui Qin Shan Zhong Liang Lin 21 15 0 19 Aug 2023
A Generic Shared Attention Mechanism for Various Backbone Neural Networks Zhongzhan Huang Senwei Liang Mingfu Liang Liang Lin 39 6 0 27 Oct 2022
Dense Learning based Semi-Supervised Object Detection Binghui Chen Pengyu Li Xiang Chen Biao Wang Lei Zhang Xia Hua ObjD 42 64 0 15 Apr 2022
TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs Shantanu Jaiswal Basura Fernando Cheston Tan ViT 34 14 0 26 Nov 2021
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 221 1,399 0 04 Dec 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex Q. Liao T. Poggio 213 255 0 13 Apr 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015