Comments (2)
2x features from the backbone is too shallow, and in the actual implementation we even avoid 4x features in attentions due to the high computational burdon of large scale features.
The code of multi-scale AOT can be found in the paot branch of this repo, you can check out it if you are interested.
from aot-benchmark.
Thanks, it Is that it was already quite hard to recover very fine details with DeAOT.
from aot-benchmark.
Related Issues (20)
- lamda parameter which indicates the neighborhood size of 11 by 11 HOT 1
- about DMAOT details? HOT 8
- [Reproducing quantitative numbers of AOT and DeAOT] HOT 7
- YoutubeVOS quantitative numbers
- Would it help if I had more "ground truth" masks? HOT 2
- Object merging in tracking HOT 3
- Recreating the general examples HOT 2
- Optimizing Model Performance: Exploring ONNX Export and Engine Integration with TensorRT and OpenVino HOT 3
- Work Around for Pytorch-Correlation-extension HOT 5
- Demo.py with more then one GPU HOT 2
- package specified for utils HOT 1
- AUX loss WEIGHT and RATIO HOT 3
- [PAOT] swinv2b
- Evaluator Memory
- F.interpolate upsample gradient with amp HOT 1
- SDPA Attention
- How to train aot? Where is aot's train.py?
- Static image
- INT_MAX `local2global`
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from aot-benchmark.