PaddleViT
FSL-Mate
PaddleViT | FSL-Mate | |
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2 | 1 | |
1,169 | 1,651 | |
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0.0 | 4.4 | |
over 1 year ago | 5 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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PaddleViT
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Researchers From China Propose A Pale-Shaped Self-Attention (PS-Attention) And A General Vision Transformer Backbone, Called Pale Transformer
Code for https://arxiv.org/abs/2112.14000 found: https://github.com/BR-IDL/PaddleViT
Github: https://github.com/BR-IDL/PaddleViT
FSL-Mate
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Anyone knows a good online material to understand and implement few shot learning?
In regards to understanding, I'm not entirely sure which part you need help with. A few shots learning simply means that instead of a lot of data per class (e.g. 1k+), you only have a few (e.g 8). You can take any ML algorithm that works and just train it with less examples to make it a few shot learning algorithm. Not all will work well, but it will still be a few shot learning algorithm. Try starting with a survey rather than a specific paper. Maybe this, or this
What are some alternatives?
FastestDet - :zap: A newly designed ultra lightweight anchor free target detection algorithm, weight only 250K parameters, reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
zshot - Zero and Few shot named entity & relationships recognition
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.
deep-kernel-transfer - Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
SINet - Camouflaged Object Detection, CVPR 2020 (Oral)
learn2learn - A PyTorch Library for Meta-learning Research
PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10 - Simplified Pytorch implementation of Vision Transformer (ViT) for small datasets like MNIST, FashionMNIST, SVHN and CIFAR10.
DeepKE - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
ttach - Image Test Time Augmentation with PyTorch!
Papers-in-100-Lines-of-Code - Implementation of papers in 100 lines of code.