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Learning Online Visual Invariances for Novel Objects via Supervised and
  Self-Supervised Training

Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training

4 October 2021
Valerio Biscione
J. Bowers
ArXivPDFHTML

Papers citing "Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training"

3 / 3 papers shown
Title
Neither hype nor gloom do DNNs justice
Neither hype nor gloom do DNNs justice
Gaurav Malhotra
Christian Tsvetkov
B. D. Evans
19
115
0
08 Dec 2023
Convolutional Neural Networks Are Not Invariant to Translation, but They
  Can Learn to Be
Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be
Valerio Biscione
J. Bowers
OOD
61
26
0
12 Oct 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
13,886
0
02 Dec 2016
1