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object detection

Explore machine learning papers and reviews related to object detection. Find insights, analysis, and implementation details.

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Papers Related to object detection

2022

Exploring Plain Vision Transformer Backbones for Object Detection

Transformers Computer Vision Object Detection Deep Learning

Investigating the effectiveness of plain Vision Transformers as backbones for object detection and proposing modifications to improve their performance.

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2016

You Only Look Once: Unified, Real-Time Object Detection

Object Detection Computer Vision Deep Learning Real-time YOLO

Introducing YOLO, a unified, real-time object detection system that frames object detection as a single regression problem.

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2015

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Object Detection Computer Vision Deep Learning Region Proposal Network R-CNN Faster R-CNN

Faster R-CNN explained: how Region Proposal Networks (RPN) enable near real-time object detection with shared convolutional features.

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2020

End-to-End Object Detection with Transformers

Transformers Computer Vision Object Detection Deep Learning DETR

Introducing DETR, a novel end-to-end object detection framework that leverages Transformers to directly predict a set of object bounding boxes.

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2021

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Transformers Computer Vision Image Classification Object Detection Semantic Segmentation Deep Learning

Swin Transformer: hierarchical Vision Transformer using shifted windows for efficient image classification, object detection, and segmentation.

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