Jinwon Lee
179
Seguidores
Personal Information
Organização/Local de trabalho
Korea Korea, South
Cargo
Samsung Electronics Enginner
Setor
Electronics / Computer Hardware
Sobre
Semiconductor Designer
Deep Learning Researcher
Marcadores
deep learning
cnn
convolutional neural network
object detection
deep neural network
detection
vit
fair
google
facebook ai research
od
mobilenet
vision transformer
image classification
efficientnet
efficient cnn
mlp
depthwise separable convolution
tensorflow
pr12
yolo
deeplearning
google research
multi-layer perceptron
mlp-mixer
transformer
attention
facebook
kaiming he
regnet
data augmentation
you only look once
yolov3
mobile cnn
mobilenetv2
hardware accelerator
neural network
recurrent neural network
auto-ml
shufflenet
depthwise convolution
machine learning
딥러닝
convnets
convnext
a convnet for 2020s
swin transformer
berkley ai reserch
bair
denoising autoencoder
autoencoder
computer vision
masked autoencoders are scalable vision learners
self supervised learning
masked autoeocnder
mãe
msra
a battle of network structures
data augmentation regularization
regularization
how to train your vit
brain team
channel mixing
token mixing
an all-mlp architecture for vision
image classfication
fc layer
fully-connected layer
mixer
data efficient image transformer
kd
knowledge distillation
distillation token
deit
detection transformer
eccv2020
eccv 2020
end-to-end object detection with transformer
detr
matrixnms
grid sensitve
intersection over union
iou
dropblock
ema
exponential moving average
deformable convolution
paddle paddle yolo
paddle paddle
baidu
ppyolo
pp-yolo
label
human in the loop
artificial intelligence
ai
mechanical turk
mturk
imagenet dataset
dataset
mit
labelling
classification
딥라ㅓ닝
이미지넷
imagenet
regnety
regnetx
network design
efficient net
designing network design spaces
nt-xent
self-supervised pretraining
unsupervised pretraining
unsupervised learning
self-supervised learning
contrastive learning
simclr
a simple framework for contrastive learning of vis
scalable and efficient object detection
compound scaling
bifpn
panet
nas-fpn
retinanet
googlebrain
efficientdet
joseph redmon
redmon
darknet-53
darknet
one stage object detection
yolo v3
lottery ticket initialization
deep leaerning
weight initialization
network pruning
pruning
one ticket to win them all
lottery ticket hypothesis
winning ticket
lottery ticket
google brain
mixed convolution
mdconv
mixed depthwise convolution
mixed depthwise convolutional kernels
mixnet
youtube
sota
ws model
ba model
er model
nas
random network
randomly wired neural network
randomly wired network
random
randwire
hardware aware
efficient neural network
netscore
squeezenet
squeezenext
object detector
1-step
1-stage
multibox
single shot
single shot multibox detector
ssd
small cnn
face++
megvii
v2
shufflenetv2
image recognition
inverted residuals
linear bottleneck
learning invariant relational reasoning tasks
modularity
modulariy matters
milà
bengio
relational reasoning
hardware
datacenter
tensor processing unit
tpu
reinforcement learning
policy gradient
rnn
efficient neural architecture search
automl
neural architecture search
efficient neural architecture search via parameter
enas
channel shuffle
grouped convolution
group convolution
pvanet
faster r-cnn
r-cnn
faster rcnn
region proposal network
bounding box
rcnn
forgetting problem
less forgetting learning
catastrophic forgetting
learning without forgetting
yolov2
yolo9000
머신러닝
기계학습
인공지능
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