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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
DETR: End-to-End Object Detection with Transformers
A new method that views object detection as a direct set prediction problem.
object-detection image-segmentation panoptic-segmentation transformers
Model Serving using FastAPI and Streamlit
Simple example of usage of streamlit and FastAPI for ML model serving.
fastapi streamlit image-segmentation deeplabv3
U^2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
object-detection salient-object-detection image-segmentation unet
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 image-segmentation computer-vision segmentation
Big GANs Are Watching You
We demonstrate that object saliency masks for GAN-produced images can be obtained automatically with BigBiGAN.
generative-adversarial-networks unet object-saliency big-gan
Detectron2
FAIR's next-generation platform for object detection and segmentation.
object-detection detectron detectron2 pytorch
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