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20102022
most citedA Survey of Deep Learning-based Object Detection

1.3k citations · 1.9k across the 46 of their papers we have counts for

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Showing 2021Show all

15 papers · 1 filter

eess.IV2021

RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition

Cheng Peng, Yangyang Li, Ronghua Shang +1

Recently, a massive number of deep learning based approaches have been successfully applied to various remote sensing image (RSI) recognition tasks. However, most existing advances…

quant-ph2021★ 1 cited

A Variation-Aware Quantum Circuit Mapping Approach Based on Multi-agent Cooperation

Pengcheng Zhu, Weiping Ding, Lihua Wei +2

The quantum circuit mapping approach is an indispensable part of the software stack for the noisy intermediatescale quantum (NISQ) device. It has a significant impact on the reliab…

cs.CV2021

MidNet: An Anchor-and-Angle-Free Detector for Oriented Ship Detection in Aerial Images

Feng Jie, Yuping Liang, Junpeng Zhang +3

Ship detection in aerial images remains an active yet challenging task due to arbitrary object orientation and complex background from a bird's-eye perspective. Most of the existin…

cs.CV2021★ 2 cited

Stable and Compact Face Recognition via Unlabeled Data Driven Sparse Representation-Based Classification

Xiaohui Yang, Zheng Wang, Huan Wu +3

Sparse representation-based classification (SRC) has attracted much attention by casting the recognition problem as simple linear regression problem. SRC methods, however, still is…

cs.CV2021

LUAI Challenge 2021 on Learning to Understand Aerial Images

Gui-Song Xia, Jian Ding, Ming Qian +33

This report summarizes the results of Learning to Understand Aerial Images (LUAI) 2021 challenge held on ICCV 2021, which focuses on object detection and semantic segmentation in a…

cs.CV2021★ 4 cited

Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation

Xiangrong Zhang, Zelin Peng, Peng Zhu +4

Semantic segmentation has been continuously investigated in the last ten years, and majority of the established technologies are based on supervised models. In recent years, image-…