Thread by @ai_fast_track

Here is a cool approach for effective labeling from @NVIDIAAI

📰Active Learning for Deep Object Detection via Probabilistic Modeling

Object detection labeling is both time consuming and expensive. Active learning to the rescue:
🧵

🟧They use mixture density networks to estimate, in one forward pass of a single model, both localization and classification uncertainties

🟧 They leverage them in the scoring function for active learning.

🟧 Then, those data points with the top-K scores are sent for labeling

🟧 They use SSD pytorch for their implementation

📰Paper: Active Learning for Deep Object Detection via Probabilistic Modeling

PDF: arxiv.org/abs/2103.16130
Abs: arxiv.org/pdf/2103.16130…
Repo: github.com/NVlabs/AL-MDN

Thanks for passing by!

1. Follow @ai_fast_track for more stuff on Object Detection

2. Retweet the first tweet to help other discover this content

https://twitter.com/ai_fast_track/status/1450835717073031179