kmnp / intentonomy Goto Github PK
View Code? Open in Web Editor NEW๐ญ Intentonomy: towards Human Intent Understanding [CVPR 2021]
License: Other
๐ญ Intentonomy: towards Human Intent Understanding [CVPR 2021]
License: Other
Hi, may I know if we can get a way to get the hashtags used per image of the dataset?
Thank you for your work!
I want to see the contents of Intentonomy's data set, where is it available?
hope hear from you soon.
Is there a timeline to public the dataset?
Training cost. Using a single NVIDIA V100 GPU, how long can you finish the training process?
Do you plan to release the hashtags along with each image?
Hello there,
I have two minor questions about _get_CAM
and get_CAM,
in the Localizationloss
class -- the part that has to be changed according to one's model definition. First, you set out_b = gcam(X, image_ids="")[1]
, but looking into GradCam I wonder if it shouldn't be just out_b = gcam(X)
in general; this in fact returns a tensor of shape [bs, num_classes]
as commented.
Later on, you set gcam_b = gcam.get(layer)
(and norm_img
as its normalization), a tensor wish shape [bs, 1, fmpH, fmpW].
As a few lines below, in get_CAM
, you set CAM_masks[:, cls_idx, :, :] = self._get_CAM(model, X, cls_idx).squeeze(1)
, and since the masks' shape depend on the mask_length
parameter (but not on fmpH
or fmpW
, of course), I wonder if also get_CAM
won't depend on the model adopted. That is, wouldn't this part crack if fmpH
or fmpW
and mask_length
don't match?
there are two images that can not be downloaded. So how can we deal with that?
Hello,
I want to use the Intentonomy dataset in my research, but the box urls to the JSON annotation files are no longer available. Are there any other ways I can obtain these annotations?
Thanks
Why in category_ids_softprob , some probability is more than 1 and some is less than 1.
Are they abandoned datas?
Could I get the code of the Intentonomy? Object/Context localization .
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.