Comments (3)
DirtyHarryLYL
commented on May 28, 2024
1
a*lg[1/(k/N)], k is the sample number of this HOI class, N is the number of all samples, thus k/N is the "occurrence" or "probability". High-frequency classes need fewer weights. a is the term weight.
from transferable-interactiveness-network.
whyang78
commented on May 28, 2024
thank you ! can you share this code? i don't know how to get term weight.
from transferable-interactiveness-network.
whyang78
commented on May 28, 2024
a*lg[1/(k/N)], k is the sample number of this HOI class, N is the number of all samples, thus k/N is the "occurrence" or "probability". High-frequency classes need fewer weights. a is the term weight.
excuse me, how to get term weight ? thank you! @DirtyHarryLYL
from transferable-interactiveness-network.
Related Issues (20)
- about test the model，mAP value is too low HOT 1
- The eigenvector shape problem of early fusion and late fusion
- The shape of pool5_O in early and late fusion HOT 1
- self.spatial = tf.placeholder(tf.float32, shape=[None, 64, 64, 3], name = 'sp') HOT 9
- What is the reason for using negative examples? HOT 4
- problem in installing HOT 4
- Questions about the ablation studies HOT 2
- About self.HO_weight HOT 1
- V-COCO training results is bad HOT 2
- The empty detections
- the pre-trained weight
- augment and pos_augment? HOT 1
- the code for ten part boxes HOT 1
- What is the approximate speed of video real-time motion detection?
- where to find or download the file res50_faster_rcnn HOT 2
- Bad evaluation results HOT 1
- How to use code to infer in my own data set? My own data set is not labeled, just want to see the actual application effect of HOI algorithm HOT 1
- Question about final HOI classification scores HOT 4
- Issue Downloading Pretrained Weight Files HOT 3
- raceback (most recent call last): │ File "tools/Vcoco_lis_nis.py", line 304, in <module> │ generate_result = generate_pkl(mode, test_D, test_result, prior_mask, Action_dic_inv, (6, 6, 7, 0), args.prior_flag) │ File "tools/Vcoco_lis_nis.py", line 145, in generate_pkl │ score_binary_d = np.array(dic_d['binary_score']) │KeyError: 'binary_score'
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 transferable-interactiveness-network.