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Deep Tutorials for PyTorch
This is a series of in-depth tutorials I'm writing for implementing cool deep learning models on your own with the amazing PyTorch library.
image-captioning sequence-labeling object-detection text-classification
Model Serving using FastAPI and Streamlit
Simple example of usage of streamlit and FastAPI for ML model serving.
fastapi streamlit deeplabv3 semantic-segmentation
A 2020 guide to Semantic Segmentation
Concept of image segmentation, discuss the relevant use-cases, different neural network architectures involved in achieving the results, metrics and ...
semantic-segmentation computer-vision segmentation article
Detectron2
FAIR's next-generation platform for object detection and segmentation.
object-detection detectron detectron2 pytorch
Single-Stage Semantic Segmentation from Image Labels
We attain competitive results by training a single network model for segmentation in a self-supervised fashion using only image-level annotations
semantic-segmentation single-stage conditional-random-fields pascal-voc
An Overview of Semantic Image Segmentation
Image segmentation is a computer vision task in which we label specific regions of an image according to what's being shown.
semantic-segmentation segmentation computer-vision article
CCNet_PyTorch
A PyTorch Implementation of CCNet: Criss-Cross Attention for Semantic Segmentation
ccnet pytorch semantic-segmentation computer-vision
DANet PyTorch
A Pytorch implementation of Dual Attention Network for Scene Segmentation
danet pytorch semantic-segmentation computer-vision
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