- The
ImageNet project is a
large visual database designed for use in
visual object recognition software research. More than 14
million images have been...
-
during training. The
three formed team
SuperVision and
submitted Alex
Net in the
ImageNet Large Scale Visual Recognition Challenge on
September 30, 2012. The...
- 3D U-
Net:
Learning Dense Volumetric Segmentation from Sp**** Annotation; Ternaus
Net: U-
Net with VGG11
Encoder Pre-Trained on
ImageNet for
Image Segmentation...
- May 2024. Krizhevsky, Alex; Sutskever, Ilya; Hinton,
Geoffrey E (2012). "
ImageNet classification with Deep
Convolutional Neural Networks".
Advances in Neural...
- Li-Jia; Li, Kai; Fei-Fei, Li (2009). "
Imagenet: A large-scale
hierarchical image database". CVPR. "
ImageNet".
image-
net.org. Russakovsky, Olga; Deng, Jia;...
-
computer vision and
machine learning. She was one of the
leaders of the
ImageNet Large Scale Visual Recognition challenge and has been
recognised by MIT...
-
Images in
ImageNet are
labelled using concepts in Word
Net.
Concepts that are
easily expressed verbally, like "early", are seen as less "
imageable" than nouns...
- GPUs
opened the way to the
development of
advanced AI models. Alex
Net won the
ImageNet challenge in 2012.
Krizhevsky and
Sutskever sold
their startup, DNN...
- error. The
ImageNet Large Scale Visual Recognition Challenge is a
benchmark in
object classification and detection, with
millions of
images and hundreds...
-
reference to the
layer inputs. It was
developed in 2015 for
image recognition, and won the
ImageNet Large Scale Visual Recognition Challenge (ILSVRC) of that...
