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AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention
  Prediction

AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction

24 July 2024
Dongyang Xu
Qingfan Wang
Ji Ma
Xiangyun Zeng
Lei Chen
ArXiv (abs)PDFHTML

Papers citing "AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction"

17 / 17 papers shown
Title
FBLNet: FeedBack Loop Network for Driver Attention Prediction
FBLNet: FeedBack Loop Network for Driver Attention Prediction
Yilong Chen
Zhixiong Nan
Tao Xiang
45
7
0
05 Dec 2022
Pyramid Grafting Network for One-Stage High Resolution Saliency
  Detection
Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
Chenxi Xie
Changqun Xia
Mingcan Ma
Zhirui Zhao
Xiaowu Chen
Jia Li
108
93
0
11 Apr 2022
Working Memory Connections for LSTM
Working Memory Connections for LSTM
Federico Landi
Lorenzo Baraldi
Marcella Cornia
Rita Cucchiara
KELM
69
168
0
31 Aug 2021
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
Wentao Bao
Qi Yu
Yu Kong
FAtt
56
41
0
21 Jul 2021
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation
Ai-Jun Lin
Bingzhi Chen
Jiayu Xu
Zheng Zhang
Guangming Lu
ViTMedIm
71
633
0
12 Jun 2021
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering
  Network
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network
Pengfei Wang
Chengquan Zhang
Fei Qi
Shanshan Liu
Xiaoqiang Zhang
Pengyuan Lyu
Junyu Han
Jingtuo Liu
Errui Ding
Guangming Shi
94
83
0
12 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
463
21,564
0
25 Mar 2021
Multi-scale Interactive Network for Salient Object Detection
Multi-scale Interactive Network for Salient Object Detection
Youwei Pang
Xiaoqi Zhao
Lihe Zhang
Huchuan Lu
ObjD
70
597
0
17 Jul 2020
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object
  Detection
U2^22-Net: Going Deeper with Nested U-Structure for Salient Object Detection
Xuebin Qin
Zichen Zhang
Chenyang Huang
Masood Dehghan
Osmar R. Zaiane
Martin Jägersand
80
1,662
0
18 May 2020
Unified Image and Video Saliency Modeling
Unified Image and Video Saliency Modeling
Richard Droste
Jianbo Jiao
J. A. Noble
85
160
0
11 Mar 2020
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Woonggi Chang
Tackgeun You
Seonguk Seo
Suha Kwak
Bohyung Han
OOD
69
387
0
27 May 2019
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
227
16,598
0
17 Jul 2018
Motion-Appearance Co-Memory Networks for Video Question Answering
Motion-Appearance Co-Memory Networks for Video Question Answering
J. Gao
Runzhou Ge
Kan Chen
Ram Nevatia
123
241
0
29 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
204
19,333
0
13 Jan 2018
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLMCLL
127
2,735
0
26 Jun 2017
Predicting the Driver's Focus of Attention: the DR(eye)VE Project
Predicting the Driver's Focus of Attention: the DR(eye)VE Project
Andrea Palazzi
Davide Abati
Simone Calderara
Francesco Solera
Rita Cucchiara
68
253
0
10 May 2017
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
568
8,005
0
13 Jun 2015
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