We have trained an intelligent agent that draws bounding boxes around an object in the image. This implementation combines CNN, DQN, and SVM to detect an object in an image. The algorithm extract features from CNN which are fed to DQN to train an agent to localize the object and this localized object is categorized using the SVM model.
☆10Apr 14, 2026Updated 2 months ago
Alternatives and similar repositories for Object-Localization-using-Deep-Reinforcement-Learning
Users that are interested in Object-Localization-using-Deep-Reinforcement-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Object localisation using deep reinforcement learning☆21Dec 29, 2021Updated 4 years ago
- Combine SVM with deep learning for one-shot learning☆10Jan 29, 2019Updated 7 years ago
- 3D Sound Source Localization using Masked Autoencoders☆20Feb 12, 2025Updated last year
- Active object localization ( bounding boxes ) using deep reinforcement learning.☆27Apr 21, 2025Updated last year