A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection

18 December 2020

Papers citing "A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection"

6 / 6 papers shown

Title
Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation Xin Xiao Daiguo Zhou Jiagao Hu Yi Hu Yongchao Xu 16 2 0 15 May 2023
Deep Dynamic Scene Deblurring from Optical Flow Jiawei Zhang Jin-shan Pan Daoye Wang Shangchen Zhou Xing Wei Zhao Furong Jianbo Liu Jimmy S. J. Ren 18 17 0 18 Jan 2023
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark Yunhe Gao Mu Zhou Ding Liu Zhennan Yan Shaoting Zhang Dimitris N. Metaxas ViT MedIm 18 68 0 28 Feb 2022
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation Xia Li Yibo Yang Qijie Zhao Tiancheng Shen Zhouchen Lin Hong Liu SSeg GNN 102 161 0 23 Mar 2020
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen A. Hengel SSeg 245 1,490 0 30 Nov 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 437 15,631 0 02 Nov 2015