poolformer VS TokenCut

Compare poolformer vs TokenCut and see what are their differences.

poolformer

PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral) (by sail-sg)

TokenCut

(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut" (by YangtaoWANG95)
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poolformer TokenCut
3 1
1,226 285
0.0% -
0.0 1.2
over 1 year ago about 1 year ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

poolformer

Posts with mentions or reviews of poolformer. We have used some of these posts to build our list of alternatives and similar projects.

TokenCut

Posts with mentions or reviews of TokenCut. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing poolformer and TokenCut you can also consider the following projects:

pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

SpecVQGAN - Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)

nn - 🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

D2L_Attention_Mechanisms_in_TF - This repository contains Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book.

TFLiteClassification - TensorFlow Lite Image Classification Python Implementation

nlp-tutorial - Natural Language Processing Tutorial for Deep Learning Researchers

FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.

Transformer-in-Transformer - An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

ru-dalle - Generate images from texts. In Russian