Position, Padding and Predictions: A Deeper Look at Position Information in CNNs

28 January 2021

Papers citing "Position, Padding and Predictions: A Deeper Look at Position Information in CNNs"

9 / 9 papers shown

Title
Improvements to SDXL in NovelAI Diffusion V3 Juan Ossa Eren Doğan Alex Birch F. Johnson 34 1 0 24 Sep 2024
Zone Evaluation: Revealing Spatial Bias in Object Detection Zhaohui Zheng Yuming Chen Qibin Hou Xiang Li Ping Wang Ming-Ming Cheng ObjD 24 3 0 20 Oct 2023
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation Trong-Hieu Nguyen-Mau Quoc-Huy Trinh Nhat-Tan Bui M. Tran Hai-Dang Nguyen MedIm 21 8 0 17 Jan 2023
Lane detection with Position Embedding Jun Xie Jiacheng Han Dezhen Qi F. Chen Kaer Huang Jia Shuai 22 4 0 23 Mar 2022
Mitigating the Bias of Centered Objects in Common Datasets Gergely G. Szabo A. Horváth 13 5 0 16 Dec 2021
A Survey of Visual Transformers Yang Liu Yao Zhang Yixin Wang Feng Hou Jin Yuan Jiang Tian Yang Zhang Zhongchao Shi Jianping Fan Zhiqiang He 3DGS ViT 71 330 0 11 Nov 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
How Much Position Information Do Convolutional Neural Networks Encode? Md. Amirul Islam Sen Jia Neil D. B. Bruce SSL 202 344 0 22 Jan 2020
Semantics Meet Saliency: Exploring Domain Affinity and Models for Dual-Task Prediction Md. Amirul Islam Mahmoud Kalash Neil D. B. Bruce 13 5 0 25 Jul 2018