HRNet-Semantic-Segmentation VS IAST-ECCV2020

Compare HRNet-Semantic-Segmentation vs IAST-ECCV2020 and see what are their differences.

HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919 (by HRNet)

IAST-ECCV2020

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm (by bupt-ai-cz)
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HRNet-Semantic-Segmentation IAST-ECCV2020
1 1
3,018 84
0.0% -
0.0 1.8
over 1 year ago over 2 years ago
Python Python
GNU General Public License v3.0 or later -
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HRNet-Semantic-Segmentation

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

IAST-ECCV2020

Posts with mentions or reviews of IAST-ECCV2020. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing HRNet-Semantic-Segmentation and IAST-ECCV2020 you can also consider the following projects:

Restormer - [CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Real-time-Semantic-Segmentation

Vision-Project-Image-Segmentation

PatchFusion - [CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation

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

segmenter - [ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation