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segmentation
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Tutorials, assignments, and competitions for MIT Deep Learning related courses.
data-science
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mit
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deep-reinforcement-learning
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neural-networks
segmentation
tensorflow-tutorials
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self-driving-cars
deep-rl
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May 17, 2021 - Jupyter Notebook
deep learning for image processing including classification and object-detection etc.
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Mar 21, 2022 - Python
Pytorch implementation of convolutional neural network visualization techniques
grad-cam
pytorch
segmentation
gradient
cam
saliency
deep-dream
guided-backpropagation
guided-grad-cam
gradient-visualization
cnn-visualization
smooth-grad
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Mar 14, 2022 - Python
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
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caffe
computer-vision
deep-learning
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nvidia
digits
image-recognition
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jetson-tx2
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Mar 10, 2022 - C++
Segmentation models with pretrained backbones. PyTorch.
models
image-processing
pytorch
neural-networks
imagenet
segmentation
pretrained-models
image-segmentation
unet
semantic-segmentation
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pspnet
fpn
deeplabv3
unet-pytorch
deeplab-v3-plus
linknet
segmentation-models
unetplusplus
pretrained-backbones
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Feb 22, 2022 - Python
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
tensorflow
keras
segmentation
densenet
resnet
image-segmentation
unet
keras-models
resnext
pre-trained
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mobilenet
pspnet
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fpn
keras-examples
linknet
segmentation-models
tensorflow-keras
efficientnet
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Jan 4, 2022 - Python
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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Nov 9, 2021 - Python
PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）
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detection
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classification
segmentation
resnet
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industry
jetson
mobilenet
yolov3
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Feb 9, 2022 - Python
Mask RCNN in TensorFlow
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Jan 5, 2021 - Python
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
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Sep 5, 2019 - Python
Sandbox for training deep learning networks
machine-learning
deep-learning
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mxnet
chainer
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keras
pytorch
classification
imagenet
image-classification
segmentation
human-pose-estimation
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gluon
cifar
semantic-segmentation
3d-face-reconstruction
tensorflow2
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Dec 14, 2021 - Python
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
transformer
segmentation
high-resolution
semantic-segmentation
cityscapes
pascal-context
lip
high-resolution-net
hrnets
segmentation-transformer
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Jul 20, 2021 - Python
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Mar 22, 2022 - Python
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
python
computer-vision
deep-learning
tensorflow
dataset
segmentation
densenet
upsampling
semantic-segmentation
epoch
iou
encoder-decoder
refinenet
semantic-segmentation-models
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Apr 22, 2021 - Python
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
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May 16, 2020 - Python
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
tracking
deep-learning
detection
segmentation
object-detection
optical-flow
papers
tracking-by-detection
code-collection
paper-collection
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Mar 13, 2022 - Shell
Paper and implementation of UNet-related model.
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May 21, 2020 - Python
Awesome GAN for Medical Imaging
detection
medical-imaging
registration
generative-adversarial-network
gan
segmentation
deeplearning
reconstruction
super-resolution
ct-denoising
medical-image-synthesis
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Jun 10, 2021
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
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Dec 8, 2021 - Python
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
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Aug 27, 2020 - Python
CCInc
commented
Mar 21, 2022
Similar to #723 , add tests for all possible combinations so they don't break in the future.
enhancement
New feature or request
help wanted
Extra attention is needed
good first issue
Good for newcomers
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
visualization
point-cloud
pytorch
classification
segmentation
shapenet
modelnet
pointcloud
pointnet
pointnet2
s3dis
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Mar 19, 2022 - Python
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
nlp
video
reinforcement-learning
detection
cnn
transformer
gan
dqn
classification
rnn
sarsa
segmentation
recommender-system
bert
pose
dssm
tinybert
dynabert
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Mar 19, 2022 - Jupyter Notebook
《深度学习与计算机视觉》配套代码
caffe
computer-vision
deep-learning
mxnet
book
example
detection
regression
pytorch
gan
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segmentation
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beginners
siamese
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model-fusion
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Nov 30, 2020 - Python
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
python
deep-neural-networks
deep-learning
neural-network
tensorflow
ml
python3
distributed
medical-imaging
pip
gan
autoencoder
segmentation
convolutional-neural-networks
python2
medical-image-computing
medical-images
medical-image-processing
image-guided-therapy
medical-image-analysis
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Apr 21, 2020 - Python
A procedural Blender pipeline for photorealistic training image generation
python
blender
rendering
computer-graphics
segmentation
3d-reconstruction
3d-graphics
pose-estimation
synthetic
synthetic-data
depth-images
3d-engines
blender-pipeline
camera-positions
suncg-scene
camera-sampling
blender-installation
3d-front-dataset
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Mar 22, 2022 - Python
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
caffe
detection
classification
imagenet
faster-rcnn
segmentation
resnet
inception
inception-resnet
resnext
caffemodel
dpn
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Mar 22, 2018 - Python
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
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Mar 17, 2022 - Jupyter Notebook
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Enhancement
A discussion in #614 revealed a good place for improvement - we should ensure that input image is continuous upon start of the augmentation pipeline. This could be implemented by adding
image = np.ascontiguousarray(image)to image and mask targets.A proposed place to add this call - somewhere at the beginning of
A.Compose.__call__.