2022
Exploring Plain Vision Transformer Backbones for Object Detection
Investigating the effectiveness of plain Vision Transformers as backbones for object detection and proposing modifications to improve their performance.
Tagged with
object detection
Explore machine learning papers and reviews related to object detection. Find insights, analysis, and implementation details.
5
Papers Found
Papers Related to object detection
2016
You Only Look Once: Unified, Real-Time Object Detection
Introducing YOLO, a unified, real-time object detection system that frames object detection as a single regression problem.
2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Introducing Faster R-CNN, a significant improvement over R-CNN and Fast R-CNN that uses a Region Proposal Network (RPN) to generate object proposals, leading to faster and more accurate object detection.
2020
End-to-End Object Detection with Transformers
Introducing DETR, a novel end-to-end object detection framework that leverages Transformers to directly predict a set of object bounding boxes.
2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Introducing Swin Transformer, a hierarchical Vision Transformer that uses shifted windows to achieve improved efficiency and performance in various vision tasks.