OFA VS UPop

Compare OFA vs UPop and see what are their differences.

OFA

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework (by OFA-Sys)
multimodal pretraining image-captioning text-to-image-synthesis visual-question-answering referring-expression-comprehension vision-language pretrained-models Prompt prompt-tuning Chinese
Source Code
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UPop

[ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers. (by sdc17)
efficient-deep-learning model-compression multimodal-learning vision-language-transformer image-captioning image-text-retrieval visual-question-answering visual-reasoning text-image-retrieval Framework weight-pruning sparsity structured vision-transformer pruning
Source Code
dachuanshi.com
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OFA UPop
3 1
2,394 94
0.7% -
2.8 8.4
5 months ago 10 months ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" 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.

OFA

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

UPop

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

What are some alternatives?

When comparing OFA and UPop you can also consider the following projects:

GroundingDINO - [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Torch-Pruning - [CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

MAGIC - Language Models Can See: Plugging Visual Controls in Text Generation

image-captioning - Image captioning using python and BLIP

ImageNet21K - Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

sparseml - Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

ONE-PEACE - A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

neural-compressor - SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

OFA vs GroundingDINO UPop vs Torch-Pruning OFA vs MAGIC UPop vs image-captioning OFA vs ImageNet21K UPop vs sparseml OFA vs ONE-PEACE UPop vs neural-compressor
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