![neural networks - What does the "d" in "256-d"/"512-d" mean in the Faster R-CNN paper (on RPN)? - Cross Validated neural networks - What does the "d" in "256-d"/"512-d" mean in the Faster R-CNN paper (on RPN)? - Cross Validated](https://i.stack.imgur.com/URuHT.jpg)
neural networks - What does the "d" in "256-d"/"512-d" mean in the Faster R-CNN paper (on RPN)? - Cross Validated
![R-CNN, Fast R-CNN, Faster R-CNN, YOLO — Object Detection Algorithms | by Rohith Gandhi | Towards Data Science R-CNN, Fast R-CNN, Faster R-CNN, YOLO — Object Detection Algorithms | by Rohith Gandhi | Towards Data Science](https://miro.medium.com/v2/resize:fit:1400/1*0pMP3aY8blSpva5tvWbnKA.png)
R-CNN, Fast R-CNN, Faster R-CNN, YOLO — Object Detection Algorithms | by Rohith Gandhi | Towards Data Science
High-level diagram of Faster R-CNN [16] for generic object detection 2)... | Download Scientific Diagram
![Electronics | Free Full-Text | Preceding Vehicle Detection Using Faster R- CNN Based on Speed Classification Random Anchor and Q-Square Penalty Coefficient Electronics | Free Full-Text | Preceding Vehicle Detection Using Faster R- CNN Based on Speed Classification Random Anchor and Q-Square Penalty Coefficient](https://www.mdpi.com/electronics/electronics-08-01024/article_deploy/html/images/electronics-08-01024-g001.png)
Electronics | Free Full-Text | Preceding Vehicle Detection Using Faster R- CNN Based on Speed Classification Random Anchor and Q-Square Penalty Coefficient
![Working principal of Faster R-CNN R-CNN is basically CNN features with... | Download Scientific Diagram Working principal of Faster R-CNN R-CNN is basically CNN features with... | Download Scientific Diagram](https://www.researchgate.net/publication/340693192/figure/fig1/AS:881342669680643@1587139875793/Working-principal-of-Faster-R-CNN-R-CNN-is-basically-CNN-features-with-regions-To-get.png)
Working principal of Faster R-CNN R-CNN is basically CNN features with... | Download Scientific Diagram
![Remote Sensing | Free Full-Text | Deformable Faster R-CNN with Aggregating Multi-Layer Features for Partially Occluded Object Detection in Optical Remote Sensing Images Remote Sensing | Free Full-Text | Deformable Faster R-CNN with Aggregating Multi-Layer Features for Partially Occluded Object Detection in Optical Remote Sensing Images](https://pub.mdpi-res.com/remotesensing/remotesensing-10-01470/article_deploy/html/images/remotesensing-10-01470-ag-550.jpg?1570475089)
Remote Sensing | Free Full-Text | Deformable Faster R-CNN with Aggregating Multi-Layer Features for Partially Occluded Object Detection in Optical Remote Sensing Images
![Figure 2 from Improved Localization Accuracy by LocNet for Faster R-CNN Based Text Detection | Semantic Scholar Figure 2 from Improved Localization Accuracy by LocNet for Faster R-CNN Based Text Detection | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/3630c53940a2d59a26c2895dce1a26471fb759c8/2-Figure2-1.png)
Figure 2 from Improved Localization Accuracy by LocNet for Faster R-CNN Based Text Detection | Semantic Scholar
![A robust approach for industrial small-object detection using an improved faster regional convolutional neural network | Scientific Reports A robust approach for industrial small-object detection using an improved faster regional convolutional neural network | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-021-02805-y/MediaObjects/41598_2021_2805_Fig1_HTML.png)