Comments (1)
Hi @qianyizhang, you are right. 1120 is a minor mistake and it should be 1184. We will correct it in a new version. In our original definition, transition w/o pooling layer has the same input and output channel size. So it's very hard to define '256' since we want to downsample the channels, meanwhile, avoid using two continuous 1x1 conv layers. We will clarify this. For the purpose of transition w/o pooling layer (1), we tried the ablation experiment by removing it with more dense layers in a single dense block, but the performance is degraded. We conjecture this layer can help combine new learned features and old features and is a very important component in our structure. Maybe you can try it by yourself. BTW, thanks very much for pointing out these to help us improve the paper. :)
from dsod.
Related Issues (20)
- Video Detection HOT 1
- Did the DSOD model code have tensorflow version? HOT 1
- about how to batch test many image files? HOT 1
- Have you tried large input images (600 * 1000)? HOT 1
- About 1 Channel images HOT 2
- small batchsize has a lower mAP. HOT 3
- Question about pooling layer in your DSOD300 HOT 1
- No such File or Directory - Core Dumped HOT 1
- Couldn't find any detections HOT 1
- Test on VOC2012 HOT 2
- The result after relu activation function isn't used in grp-dsod. HOT 1
- training on new dataset HOT 1
- Sixth_norm_mbox_priorbox step parameter is wrong HOT 1
- grp-dsod pretrained models
- Reproduced result is lower than the reported result HOT 1
- Why not public caffe train_val.prototxt?
- NameError :name ‘DSOD300_V3_Body’ is not defined. How to deal with it? HOT 1
- Any Dockerfile?
- Why the speed of DSOD is too slow in the process of training? HOT 1
- How long does model take when I have 20 000 images, 1 class with Quadro P4000
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 dsod.