2D Object Detection

79 papers with code • 13 benchmarks • 51 datasets

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Libraries

Use these libraries to find 2D Object Detection models and implementations
9 papers
27,330
4 papers
1,651
3 papers
21,354
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Most implemented papers

Focal Loss for Dense Object Detection

facebookresearch/detectron ICCV 2017

Our novel Focal Loss focuses training on a sparse set of hard examples and prevents the vast number of easy negatives from overwhelming the detector during training.

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

rbgirshick/py-faster-rcnn NeurIPS 2015

In this work, we introduce a Region Proposal Network (RPN) that shares full-image convolutional features with the detection network, thus enabling nearly cost-free region proposals.

FCOS: Fully Convolutional One-Stage Object Detection

tianzhi0549/FCOS ICCV 2019

By eliminating the predefined set of anchor boxes, FCOS completely avoids the complicated computation related to anchor boxes such as calculating overlapping during training.

Scaled-YOLOv4: Scaling Cross Stage Partial Network

WongKinYiu/ScaledYOLOv4 CVPR 2021

We show that the YOLOv4 object detection neural network based on the CSP approach, scales both up and down and is applicable to small and large networks while maintaining optimal speed and accuracy.

End-to-End Object Detection with Transformers

facebookresearch/detr ECCV 2020

We present a new method that views object detection as a direct set prediction problem.

YOLOX: Exceeding YOLO Series in 2021

Megvii-BaseDetection/YOLOX 18 Jul 2021

In this report, we present some experienced improvements to YOLO series, forming a new high-performance detector -- YOLOX.

Deformable DETR: Deformable Transformers for End-to-End Object Detection

fundamentalvision/Deformable-DETR ICLR 2021

DETR has been recently proposed to eliminate the need for many hand-designed components in object detection while demonstrating good performance.

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

wongkinyiu/yolov7 CVPR 2023

YOLOv7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56. 8% AP among all known real-time object detectors with 30 FPS or higher on GPU V100.

Cascade R-CNN: Delving into High Quality Object Detection

zhaoweicai/cascade-rcnn CVPR 2018

In object detection, an intersection over union (IoU) threshold is required to define positives and negatives.

PP-YOLOE: An evolved version of YOLO

PaddlePaddle/PaddleDetection 30 Mar 2022

In this report, we present PP-YOLOE, an industrial state-of-the-art object detector with high performance and friendly deployment.