RefineMask VS transfiner

Compare RefineMask vs transfiner and see what are their differences.

RefineMask

RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features (CVPR 2021) (by zhanggang001)
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RefineMask transfiner
1 3
210 516
- 0.0%
0.0 0.0
about 2 years ago over 1 year 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.
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.

RefineMask

Posts with mentions or reviews of RefineMask. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-21.

transfiner

Posts with mentions or reviews of transfiner. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-25.

What are some alternatives?

When comparing RefineMask and transfiner you can also consider the following projects:

PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

DAD-3DHeads - Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).

Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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"

detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

mmdetection - OpenMMLab Detection Toolbox and Benchmark

XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

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.