PaddleSeg VS HFT

Compare PaddleSeg vs HFT and see what are their differences.

PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc. (by PaddlePaddle)

HFT

[ICRA 2023] Official Pytorch implementation for HFT (by JiayuZou2020)
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PaddleSeg HFT
17 4
8,253 120
2.2% -
7.4 3.7
12 days ago about 1 year ago
Python Python
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.

PaddleSeg

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

HFT

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

What are some alternatives?

When comparing PaddleSeg and HFT you can also consider the following projects:

mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Swin-Transformer - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Ultra-Fast-Lane-Detection - Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

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

segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.

Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images

YOLOP - You Only Look Once for Panopitic Driving Perception.(MIR2022)

OneFormer - OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023