Swin-Transformer-Semantic-Segmentation VS PaddleClas

Compare Swin-Transformer-Semantic-Segmentation vs PaddleClas and see what are their differences.

Swin-Transformer-Semantic-Segmentation

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation. (by SwinTransformer)
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Swin-Transformer-Semantic-Segmentation PaddleClas
1 2
1,081 5,262
0.0% 0.7%
0.0 5.4
over 1 year ago 5 days ago
Python Python
Apache License 2.0 Apache License 2.0
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.
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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.

Swin-Transformer-Semantic-Segmentation

Posts with mentions or reviews of Swin-Transformer-Semantic-Segmentation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-14.

PaddleClas

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

What are some alternatives?

When comparing Swin-Transformer-Semantic-Segmentation and PaddleClas you can also consider the following projects:

mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Swin-Transformer-Object-Detection - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

Swin-Transformer-Tensorflow - Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)

labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.

Swin-Transformer-Serve - Deploy Swin Transformer using TorchServe

Video-Swin-Transformer - This is an official implementation for "Video Swin Transformers".

DWPose - "Effective Whole-body Pose Estimation with Two-stages Distillation" (ICCV 2023, CV4Metaverse Workshop)

SeMask-Segmentation - [NIVT Workshop @ ICCV 2023] SeMask: Semantically Masked Transformers for Semantic Segmentation

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