yolov3-tf2
saliency
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yolov3-tf2 | saliency | |
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3 | 4 | |
2,507 | 927 | |
- | 0.5% | |
2.8 | 3.6 | |
about 1 month ago | 30 days ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Apache License 2.0 |
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yolov3-tf2
saliency
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[D] Is the math in Integrated gradients (4K citations) wrong?
Found relevant code at https://github.com/PAIR-code/saliency + all code implementations here
- How to display which parts of a single image a Keras model found to be the most significant when making a prediction?
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Gradients of model output layer and intermediate layer wrt inputs
I’m trying to visualize model layer outputs using the saliency core package package on a simple conv net. This requires me to compute the gradients of the model output layer and intermediate convolutional layer output w.r.t the input. I’ve attempted to do this in the last code block, but I run into the error
- A Visual History of Interpretation for Image Recognition
What are some alternatives?
yolact - A simple, fully convolutional model for real-time instance segmentation.
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
tensorflow-yolo-v3 - Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
EfficientWord-Net - OneShot Learning-based hotword detection.
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
darkflow - Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
yolact - Tensorflow 2.x implementation YOLACT
Emotion_Detection_CNN_keras - Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.
TACO - 🌮 Trash Annotations in Context Dataset Toolkit
docs - TensorFlow documentation
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
vision-camera-realtime-object-detection - VisionCamera Frame Processor Plugin to detect objects using TensorFlow Lite Task Vision