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RFAConv: Innovating Spatial Attention and Standard Convolutional
  Operation

RFAConv: Innovating Spatial Attention and Standard Convolutional Operation

6 April 2023
X. Zhang
Chen Liu
Degang Yang
Tingting Song
Yichen Ye
Ke Li
Ying Song
ArXivPDFHTML

Papers citing "RFAConv: Innovating Spatial Attention and Standard Convolutional Operation"

5 / 5 papers shown
Title
CPA-Enhancer: Chain-of-Thought Prompted Adaptive Enhancer for Object
  Detection under Unknown Degradations
CPA-Enhancer: Chain-of-Thought Prompted Adaptive Enhancer for Object Detection under Unknown Degradations
Yuwei Zhang
Yan Wu
Yanming Liu
Xinyue Peng
41
5
0
17 Mar 2024
YOLO-TLA: An Efficient and Lightweight Small Object Detection Model
  based on YOLOv5
YOLO-TLA: An Efficient and Lightweight Small Object Detection Model based on YOLOv5
Peng Gao
Chun-Lin Ji
Tao Yu
Ruyue Yuan
ObjD
38
36
0
22 Feb 2024
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
290
979
0
27 Jan 2021
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
206
14,367
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
252
36,362
0
25 Aug 2016
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