-
CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations
https://arxiv.org/abs/2112.07133
Anyone keen to try modifying a training script for above?
-
# Description
We created a model using mostly test data. We should document the results of this, including the analysis of the results. For:
* Intents
* Entities
* Responses
we will attempt t…
-
- [ ] [ Neural Baby Talk](http://openaccess.thecvf.com/content_cvpr_2018/papers/Lu_Neural_Baby_Talk_CVPR_2018_paper.pdf)
Keywords:
Image captioning
predict template-like sentences
Reference: [Hy…
-
Instead of having a unified generation function as we have now, we might want to adjust our repo in the future in a direction such that users can pick different approaches like:
For Generation:
`Z…
-
- [ ] dial in hotkeys-based review UX (maybe ??). Hotkey for adding objects would be great.
- [ ] display previous action on "repeat last action" button
-
Hi,
I am a fan of cell2location!
It was said that " Although the emerging SRT technologies, such as MERFISH, Slide-seq and Stereo-seq, had achieved cell-level or subcellular spatial resolution, so…
-
*@nilsolav commented on Mar 20, 2020, 9:18 AM UTC:*
There is a growing need in the community to support fast access to large volumes of sonar data, including interpretation (labels or annotations). P…
ghost updated
4 years ago
-
We need to implement a machine learning model capable of identifying regions within documents or images containing Personally Identifiable Information (PII). PII, including names, addresses, social se…
-
https://doi.org/10.1101/211060
> The relationship between cellular architecture and cellular state and function is apparent, but not yet completely understood. Precise characterization of cellular …
-
## author
Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl
## date
(Submitted on 10 Oct 2017)
## abstract
>In several domains obtaining class annotations is expensive …