GroupViT VS CapDec

Compare GroupViT vs CapDec and see what are their differences.

GroupViT

Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022. (by NVlabs)

CapDec

CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings) (by DavidHuji)
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GroupViT CapDec
1 3
746 189
1.5% 0.5%
0.0 5.6
almost 3 years ago about 1 year ago
Python Python
GNU General Public License v3.0 or later 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.

GroupViT

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

CapDec

Posts with mentions or reviews of CapDec. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-08.

What are some alternatives?

When comparing GroupViT and CapDec you can also consider the following projects:

x-clip - A concise but complete implementation of CLIP with various experimental improvements from recent papers

DeepViewAgg - [CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"

EfficientFormer - EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

3DCoMPaT-v2 - 3DCoMPaT++: An improved large-scale 3D vision dataset for compositional recognition

bonito - A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

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Nutrient - The #1 PDF SDK Library
Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
nutrient.io
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