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Q-Aid
A comprehensive healthcare conversational agent powered by Visual QA and segmentation models.
question-answering health pytorch visual-question-answering
SemTorch
Different deep learning architectures definitions that can be applied to image segmentation.
semantic-segmentation instance-segmentation salient-object-detection segmentation
End-to-end Object Detection in TensorFlow Lite
This project shows how to train a custom detection model with the TFOD API, optimize it with TFLite, and perform inference with the optimized model.
object-detection tensorflow tensorflow-lite computer-vision
Image Super-Resolution
In this project we learn how to train a super-resolution model ESPCN on DIV2K dataset to upscale images using AI by 3x
super-resolution deep-learning computer-vision machine-learning
Object Detection with RetinaNet
Implementing RetinaNet: Focal Loss for Dense Object Detection.
object-detection retinanet keras tensorflow
YOLOv4 With TensorFlow
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite.
object-detection yolo yolov4 yolov4-tiny
Image synthesis at CVPR 2020
An overview of the different approaches to image synthesis at CVPR 2020.
image-generation image-synthesis cvpr-2020 survey
Image GPT: Generative Pretraining from Pixels
Transformers trained on pixel sequences can generate coherent image completions and samples.
transformers openai computer-vision image-completion
Detectron2
FAIR's next-generation platform for object detection and segmentation.
object-detection detectron detectron2 pytorch
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