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Fruit recognition from images using deep learning

Fruit recognition from images using deep learning

2 December 2017
H. Muresan
Mihai Oltean
ArXivPDFHTML

Papers citing "Fruit recognition from images using deep learning"

19 / 19 papers shown
Title
Organizing Unstructured Image Collections using Natural Language
Organizing Unstructured Image Collections using Natural Language
Mingxuan Liu
Zhun Zhong
Jun Li
Gianni Franchi
Subhankar Roy
Elisa Ricci
VLM
44
3
0
07 Oct 2024
HGCLIP: Exploring Vision-Language Models with Graph Representations for
  Hierarchical Understanding
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
Peng Xia
Xingtong Yu
Ming Hu
Lie Ju
Zhiyong Wang
Peibo Duan
Zongyuan Ge
VLM
57
10
0
23 Nov 2023
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
Farhad Shiri
Thinagaran Perumal
N. Mustapha
Raihani Mohamed
AILaw
SyDa
ELM
AI4TS
55
129
0
27 May 2023
Amodal Intra-class Instance Segmentation: Synthetic Datasets and
  Benchmark
Amodal Intra-class Instance Segmentation: Synthetic Datasets and Benchmark
Jiayang Ao
Qiuhong Ke
Krista A. Ehinger
37
1
0
12 Mar 2023
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
Zachary Novack
Julian McAuley
Zachary Chase Lipton
Saurabh Garg
VLM
35
79
0
06 Feb 2023
Fruit Ripeness Classification: a Survey
Fruit Ripeness Classification: a Survey
Matteo Rizzo
Matteo Marcuzzo
A. Zangari
A. Gasparetto
A. Albarelli
27
62
0
29 Dec 2022
Formal Conceptual Views in Neural Networks
Formal Conceptual Views in Neural Networks
Johannes Hirth
Tom Hanika
20
2
0
27 Sep 2022
A Case for Dataset Specific Profiling
A Case for Dataset Specific Profiling
Seth Ockerman
John Wu
Christopher Stewart
16
0
0
01 Aug 2022
GrowliFlower: An image time series dataset for GROWth analysis of
  cauLIFLOWER
GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER
Jana Kierdorf
L. Junker-Frohn
Michael Delaney
Mariele Donoso Olave
A. Burkart
H. Jaenicke
O. Muller
U. Rascher
R. Roscher
11
29
0
01 Apr 2022
HRel: Filter Pruning based on High Relevance between Activation Maps and
  Class Labels
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
C. Sarvani
Mrinmoy Ghorai
S. Dubey
S. H. Shabbeer Basha
VLM
39
37
0
22 Feb 2022
Wasserstein Iterative Networks for Barycenter Estimation
Wasserstein Iterative Networks for Barycenter Estimation
Alexander Korotin
Vage Egiazarian
Lingxiao Li
Evgeny Burnaev
34
24
0
28 Jan 2022
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained
  Inter-species Classification
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification
Feras Albardi
H. M. D. Kabir
Mahbubul I Bhuiyan
P. Kebria
Abbas Khosravi
S. Nahavandi
43
20
0
14 Oct 2021
A Comprehensive Survey of Image-Based Food Recognition and Volume
  Estimation Methods for Dietary Assessment
A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment
G. Tahir
C. K. Loo
19
60
0
21 Jun 2021
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge
  Distillation
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation
Gaurav Kumar Nayak
Konda Reddy Mopuri
Anirban Chakraborty
22
18
0
18 Nov 2020
Fruit classification using deep feature maps in the presence of
  deceptive similar classes
Fruit classification using deep feature maps in the presence of deceptive similar classes
Mohit Dandekar
Narinder Singh Punn
S. K. Sonbhadra
Sonali Agarwal
18
6
0
12 Jul 2020
Detecting and Counting Pistachios based on Deep Learning
Detecting and Counting Pistachios based on Deep Learning
Mohammad Rahimzadeh
Abolfazl Attar
11
6
0
08 May 2020
DCT-CompCNN: A Novel Image Classification Network Using JPEG Compressed
  DCT Coefficients
DCT-CompCNN: A Novel Image Classification Network Using JPEG Compressed DCT Coefficients
B. Rajesh
M. Javed
Madan Mohan Malaviya
Shubham Srivastava
13
21
0
26 Jul 2019
Machine Learning Testing: Survey, Landscapes and Horizons
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang
Mark Harman
Lei Ma
Yang Liu
VLM
AILaw
39
739
0
19 Jun 2019
Understanding Convolutional Neural Networks with Information Theory: An
  Initial Exploration
Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration
Shujian Yu
Kristoffer Wickstrøm
Robert Jenssen
José C. Príncipe
22
73
0
18 Apr 2018
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