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Scalable learning for bridging the species gap in image-based plant
  phenotyping

Scalable learning for bridging the species gap in image-based plant phenotyping

24 March 2020
Daniel Ward
Peyman Moghadam
ArXivPDFHTML

Papers citing "Scalable learning for bridging the species gap in image-based plant phenotyping"

4 / 4 papers shown
Title
GMT: Guided Mask Transformer for Leaf Instance Segmentation
GMT: Guided Mask Transformer for Leaf Instance Segmentation
Feng Chen
Sotirios A. Tsaftaris
M. Giuffrida
30
1
0
24 Jun 2024
How useful is Active Learning for Image-based Plant Phenotyping?
How useful is Active Learning for Image-based Plant Phenotyping?
Koushik Nagasubramanian
Talukder Z. Jubery
Fateme Fotouhi Ardakani
S. Mirnezami
Asheesh K. Singh
Arti Singh
S. Sarkar
Baskar Ganapathysubramanian
VLM
26
16
0
07 Jun 2020
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
185
302
0
21 May 2018
RenderGAN: Generating Realistic Labeled Data
RenderGAN: Generating Realistic Labeled Data
Leon Sixt
Benjamin Wild
Tim Landgraf
GAN
158
176
0
04 Nov 2016
1