DeepViewAgg
transfiner
| DeepViewAgg | transfiner | |
|---|---|---|
| 4 | 3 | |
| 216 | 516 | |
| - | 0.0% | |
| 4.8 | 0.0 | |
| 10 months ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
DeepViewAgg
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[R] [CVPR 2022 Oral] Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
Code for https://arxiv.org/abs/2204.07548 found: https://github.com/drprojects/DeepViewAgg
- [R] [CVPR2022 Oral] Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
- [CVPR 2022 Oral] Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
transfiner
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I trained a neural net to watch Super Smash Bros
ok cool. Yeah it looked like you were playing with pointrend and I was wondering if it was transfiner or not.
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[D] Alleged academic fraud of "Mask Transfiner for High-Quality Instance Segmentation" (arxiv 2111.13673)
When I visited the project page, I found this issue: Unfair Comparison with HTC and RefineMask? And I think most suspicions are justified. To summarize,
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[R][P] Mask Transfiner for High-Quality Instance Segmentation + Gradio Web Demo
github: https://github.com/SysCV/transfiner
What are some alternatives?
torch-points3d - Pytorch framework for doing deep learning on point clouds.
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).
MonoScene - [CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
RefineMask - RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features (CVPR 2021)
Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
img2dataset - Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
LAVIS - LAVIS - A One-stop Library for Language-Vision Intelligence
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.