megvii-basedetection / autoassign Goto Github PK
View Code? Open in Web Editor NEWPytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"
License: Apache License 2.0
Pytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"
License: Apache License 2.0
I downloaded the pretrained model provided. During inference I'm getting the following warning. It results worse AP ~29. Also, could you upload the other models with different backbones that you share on the paper?
WARNING [02/12 13:37:59 c2.checkpoint.checkpoint]: 'backbone.top_block.p6.weight' has shape (256, 2048, 3, 3) in the checkpoint but (256, 256, 3, 3) in the model! Skipped.
[02/12 13:37:59 c2.checkpoint.checkpoint]: Some model parameters are not in the checkpoint:
backbone.top_block.p6.weight
Hello, thanks for your great work!
Can you provide a config.py file for the training on PASCAL VOC dataset.
Thanks
Hi, thanks for your nice work.
I'm extremely interesting in the ImpObj branch in your paper, but you code is based on cvpods base,
so how could I debug code ?
Thanks !
Thank you for your outstanding work!
I recently ran this code and got a result of mAP40.2, Is this the normal fluctuation range ?
Hi, 我最近在研究label assign,实验发现使用默认设置下的AutoAssign在VOC上的表现会低于GFL 3个点以上的AP。请问你们有在VOC上尝试过吗?我使用的是mmdet官方repo中的AutoAssign,最大epoch为4,学习率下降在第3 epoch之后,这是mmdet VOC的标准设置。GFL可取得51.8的AP,但AutoAssign只能取得48.4。请问有什么超参会对性能影响较大?
Thank you for your excellent work. I have a question, what does "loss_norm" mean, this seems not mentioned in the original paper
I used AutoAssign to train my data set, but the speed of training was too slow.Is that normal?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.