meshed-memory-transformer VS catr

Compare meshed-memory-transformer vs catr and see what are their differences.

meshed-memory-transformer

Meshed-Memory Transformer for Image Captioning. CVPR 2020 (by aimagelab)
image-captioning Transformer captioning-images caption-generation visual-semantic Pytorch cvpr2020
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catr

Image Captioning Using Transformer (by saahiluppal)
image-captioning Transformer
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meshed-memory-transformer catr
2 2
497 242
0.0% -
0.0 0.0
over 1 year ago almost 2 years ago
Python Python
BSD 3-clause "New" or "Revised" License Apache License 2.0
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meshed-memory-transformer

Posts with mentions or reviews of meshed-memory-transformer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-03.
  • [D] Data transfer(image features) between different models in separate docker containers
    2 projects | /r/MachineLearning | 3 Jun 2021
  • [R] end-to-end image captioning
    3 projects | /r/MachineLearning | 25 Feb 2021
    I could use some up-to-date models (e.g, this one: https://github.com/aimagelab/meshed-memory-transformer), but all those I looked into require pre-processing step of features/bounding-boxes generation. The problem is that I can't use an off-the shelf bounding-box extraction model as it would not perform well on the dataset I have (images are not like COCO at all). So I was wondering if there is a relatively up-to-date architecture that I can use that will not require this processing step. That is, an implementation that requires only inputs (images) and outputs (sentences).

catr

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

What are some alternatives?

When comparing meshed-memory-transformer and catr you can also consider the following projects:

a-PyTorch-Tutorial-to-Image-Captioning - Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

clip-glass - Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

stargan-v2 - StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

perturb-predict-paraphrase - Implementation of Perturb, Predict & Paraphrase: Semi-supervised Learning using Noisy Student for Image Captioning

BLIP - PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

virtex - [CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

py-bottom-up-attention - PyTorch bottom-up attention with Detectron2

meshed-memory-transformer vs a-PyTorch-Tutorial-to-Image-Captioning catr vs a-PyTorch-Tutorial-to-Image-Captioning meshed-memory-transformer vs clip-glass catr vs transformers meshed-memory-transformer vs stargan-v2 catr vs perturb-predict-paraphrase meshed-memory-transformer vs BLIP catr vs virtex meshed-memory-transformer vs py-bottom-up-attention