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2020 [20]
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Optimized all-fiber laser Doppler velocimeter with large depth of field
期刊论文
Optical Fiber Technology, 2020, 卷号: 60
作者:
Hao, GeYang
;
Cui, Ying
;
Yang, Yucheng
;
lv, Xiaopeng
;
Wu, Guojun
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2020/11/10
Laser Doppler velocimeter
Optical fiber sensing
Optical precision measurement
Depth of field
Wild animal survey using UAS imagery and deep learning: modified Faster R-CNN for kiang detection in Tibetan Plateau
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 169, 页码: 364-376
作者:
Peng, Jinbang
;
Wang, Dongliang
;
Liao, Xiaohan
;
Shao, Quanqin
;
Sun, Zhigang
收藏
  |  
浏览/下载:113/0
  |  
提交时间:2021/03/16
Wild animal survey
Deep learning
Object detection
Unmanned aircraft systems (UAS)
High-resolution measurement based on the combination of multi-vision system and synthetic aperture imaging
期刊论文
Optics and Lasers in Engineering, 2020, 卷号: 133
作者:
Chu, Junqiu
;
Dong, Li
;
Liu, He
;
Lü, Pin
;
Ma, Haotong
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/05/11
Pest24: A large-scale very small object data set of agricultural pests for multi-target detection
期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 卷号: 175
作者:
Wang, Qi-Jin
;
Zhang, Sheng-Yu
;
Dong, Shi-Feng
;
Zhang, Guang-Cai
;
Yang, Jin
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  |  
浏览/下载:68/0
  |  
提交时间:2020/10/23
Agricultural pests
Data set
Object detection
Deep learning
Large Batch Optimization for Object Detection: Training COCO in 12 Minutes
会议论文
Online, 2020-8-24
作者:
Wang, Tong
;
Zhu, Yousong
;
Chaoyang, Zhao
;
Zeng, Wei
;
Wang, Yaowei
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  |  
浏览/下载:4/0
  |  
提交时间:2022/04/01
Object detection for ochotona curzoniae based on semantic segmentation
期刊论文
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2020, 卷号: 48, 期号: 7, 页码: 7-12
作者:
Chen, Haiyan
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  |  
浏览/下载:9/0
  |  
提交时间:2020/11/14
Median filters
Object detection
Object recognition
Semantics
Connected domains
Detection accuracy
Interest regions
Ochotona curzoniae
Region of interest
Semantic segmentation
Size and position
Small target detection
An improved object detection algorithm based on depthwise separable convolutions
会议论文
Shenyang, China, August 28, 2019 - August 30, 2019
作者:
Yu, Xiuyuan
;
Bao, Qiliang
;
Jia, Haolong
;
Li, Yu
;
Qin, Rui
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  |  
浏览/下载:8/0
  |  
提交时间:2021/05/11
Object Detection
Depthwise Separable Convolutions
Inverted Residuals
Feature Pyramid Network
Lightweight Network
AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection
期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 卷号: 174
作者:
Jiao, Lin
;
Dong, Shifeng
;
Zhang, Shengyu
;
Xie, Chengjun
;
Wang, Hongqiang
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  |  
浏览/下载:33/0
  |  
提交时间:2020/11/26
Agricultural pest detection
Fusion features
Anchor-free
RCNN
Region proposals
Detecting Small Objects Using a Channel-Aware Deconvolutional Network
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 卷号: 30, 期号: 6, 页码: 1639-1652
作者:
Duan, Kaiwen
;
Du, Dawei
;
Qi, Honggang
;
Huang, Qingming
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2020/12/10
Object detection
Feature extraction
Training
Birds
Deconvolution
Proposals
Detectors
Small object detection
channel-aware deconvolution
multi-RPN
anchor matching
Self-Supervised Feature Augmentation for Large Image Object Detection
期刊论文
IEEE Transactions on Image Processing, 2020, 卷号: 29, 期号: 0, 页码: 6745-6758
作者:
Pan, Xingjia
;
Tang, Fan
;
Dong, Weiming
;
Gu, Yang
;
Song, Zhichao
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2020/12/21
object detection
large image
self-supervise
feature augmentation
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