affnet
hardnet
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| affnet | hardnet | |
|---|---|---|
| 1 | 1 | |
| 261 | 503 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | about 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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affnet
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Determine whether an image, from a given sequence of images, has changed considerably
Maybe you can try using an object detector, with the classes you are interested in and then processing the detections with another network to say if the objects are the same or not. Maybe you can try things like https://github.com/ducha-aiki/affnet
hardnet
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Can't find images?
Downloading: "https://github.com/DagnyT/hardnet/raw/master/pretrained/train_liberty_with_aug/checkpoint_liberty_with_aug.pth" to /home/showjdgb/.cache/torch/hub/checkpoints/checkpoint_liberty_with_aug.pth
What are some alternatives?
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Person_reID_baseline_pytorch - :bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
GTSRB - Convolutional Neural Network for German Traffic Sign Recognition Benchmark
Text2Poster-ICASSP-22 - Official implementation of the ICASSP-2022 paper "Text2Poster: Laying Out Stylized Texts on Retrieved Images"
quaterion - Blazing fast framework for fine-tuning similarity learning models
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).