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Identifying the Defective: Detecting Damaged Grains for Cereal
  Appearance Inspection

Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection

20 November 2023
Lei Fan
Yiwen Ding
Dongdong Fan
Yong Wu
M. Pagnucco
Yang Song
ArXivPDFHTML

Papers citing "Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection"

5 / 5 papers shown
Title
Interpretable Image Classification via Non-parametric Part Prototype Learning
Zhijie Zhu
Lei Fan
M. Pagnucco
Yang Song
39
0
0
13 Mar 2025
An annotated grain kernel image database for visual quality inspection
An annotated grain kernel image database for visual quality inspection
Lei Fan
Yiwen Ding
Dongdong Fan
Yong Wu
Hongxia Chu
M. Pagnucco
Yang Song
11
2
0
20 Nov 2023
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
101
440
0
26 Jan 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
0
21 Oct 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
1