Awesome-Bag-of-Tricks

Table of Contents 🍕

• Image Classification
• Object Detection
• ReId / Image Retrieval
• Adversarial Training
• Optical Character Recognition
• Adversarial Training
• Text Classification
• Graph Neural Networks

Papers & Code 👀

Image Classification

CVPR 2019 | Bag of Tricks for Image Classification with Convolutional Neural Networks.

• Paper: https://arxiv.org/abs/1812.01187
• Official Code: https://github.com/dmlc/gluon-cv
• Community Code: https://github.com/weiaicunzai/Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks

arXiv 2020 | Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network.

• Paper: https://arxiv.org/abs/2001.06268
• Official Code: https://github.com/clovaai/assembled-cnn

AAAI 2021 | Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks.

• Paper: https://cs.nju.edu.cn/wujx/paper/AAAI2021_Tricks.pdf
• Official Code: https://github.com/zhangyongshun/BagofTricks-LT

arXiv 2021 | ResNet strikes back: An improved training procedure in timm.

• Paper: https://arxiv.org/abs/2110.00476
• Official Code: https://github.com/rwightman/pytorch-image-models

arXiv 2022 | Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results

• Paper: https://arxiv.org/abs/2204.03475
• Official Code: https://github.com/alibaba-miil/solving_imagenet

arXiv 2022 | DeiT III: Revenge of the ViT

• Paper: https://arxiv.org/abs/2204.07118
• Official Code: https://github.com/facebookresearch/deit/blob/main/README_revenge.md

arXiv 2022 | Better plain ViT baselines for ImageNet-1k

• Paper: https://arxiv.org/abs/2205.01580
• Official Code: https://github.com/google-research/big_vision

Object Detection

arXiv 2019| Bag of Freebies for Training Object Detection.

• Paper: https://arxiv.org/abs/1902.04103
• Code: No official implementation.

arXiv 2019 | YOLOv4: Optimal Speed and Accuracy of Object Detection.

• Paper: https://arxiv.org/abs/2004.10934

• Related Link: YOLOv4 — Version 1: Bag of Freebies

• Related Link: YOLOv4 — Version 2: Bag of Specials

• Official Code: https://github.com/AlexeyAB/darknet

ReId or Image Retrieval

CVPRW 2019 | Bag of Tricks and A Strong Baseline for Deep Person Re-identification.

• Paper: https://arxiv.org/abs/1903.07071
• Slides: https://drive.google.com/open?id=1h9SgdJenvfoNp9PTUxPiz5_K5HFCho-V
• Poster: https://drive.google.com/open?id=1izZYAwylBsrldxSMqHCH432P6hnyh1vR
• Official Code: https://github.com/michuanhaohao/reid-strong-baseline

Optical Character Recognition

arXiv 2021 | PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System.

• Paper: https://arxiv.org/abs/2109.03144

• Official Code: https://github.com/PaddlePaddle/PaddleOCR

Adversarial Training

ICLR 2021 | Bag of Tricks for Adversarial Training.

• Paper: https://arxiv.org/abs/2010.00467
• Official Code: https://github.com/P2333/Bag-of-Tricks-for-AT

Text Classification

EACL 2017 | Bag of Tricks for Efficient Text Classification.

• Paper: https://arxiv.org/abs/1607.01759
• Official Code: https://github.com/facebookresearch/fastText

Graph Neural Networks

arXiv 2021 | Bag of Tricks for Node Classification with Graph Neural Networks.

• Paper: https://arxiv.org/abs/2103.13355
• Official Code: https://github.com/espylapiza/Bag-of-Tricks-for-Node-Classification-with-Graph-Neural-Networks

arXiv 2021 | Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study.

• Paper: https://arxiv.org/abs/2108.10521
• Official Code: https://github.com/VITA-Group/Deep_GCN_Benchmarking