Reproduce the latest MPDIoU improvement of YOLOv8: effective and accurate bounding box regression loss, defeating G/E/CIoU, the effect is obvious! ! ! - 코드 세계

Reproduce the latest MPDIoU improvement of YOLOv8: effective and accurate bounding box regression loss, defeating G/E/CIoU, the effect is obvious! ! !

발 2023-09-12 06:35:25 독서 시간: null

NoSuchKey

추천

출처blog.csdn.net/qq_44224801/article/details/131967196

Reproduce the latest MPDIoU improvement of YOLOv8: effective and accurate bounding box regression loss, defeating G/E/CIoU, the effect is obvious! ! !

Reproduce the latest MPDIoU improvement of YOLOv8: effective and accurate bounding box regression loss, defeating G/E/CIoU, the effect is obvious! ! !

Reproduce the latest MPDIoU improvement of YOLOv5: effective and accurate bounding box regression loss, defeating G/E/CIoU, the effect is obvious! ! !

The Magic of Bounding Box Regression: Demystifying the Accurate and Efficient MPDIoU Loss Function

MPDIoU: A Loss for Efficient and Accurate Bounding BoxRegression

Reproduzieren Sie die neueste MPDIoU-Verbesserung von YOLOv8: effektiver und genauer Bounding-Box-Regressionsverlust, Besiegen von G/E/CIoU, der Effekt ist offensichtlich! ! !

复现YOLOv5改进最新MPDIoU:有效和准确的边界盒回归的损失，打败G/E/CIoU，效果明显！！！

Practical improvement of YoloV5: using MPDIoU to improve YoloV5

MPDIoU: A Loss for Efficient and Accurate Bounding BoxRegression--Paper Study Notes

Yolov8 improvement --- attention mechanism: ShuffleAttention, ECA, EffectiveSE, SE

YoloV8 improvement strategy: SPD-Conv is added to YoloV8, allowing small targets to have nowhere to hide

After outsourcing for 2 months, the technical regression is obvious...

Raising point artifact: SPD-Conv based on Yolov8, low-resolution images and small objects have obvious rising points

YOLOV8 improvement: Add RCS-OSA module to improve detection speed

YOLOV5/YOLOV8 improvement: CVPR23: join the ConvNeXt V2 backbone, effectively increase points

YOLOv5 comprehensive analysis tutorial ③: Faster and better bounding box regression loss

Study Notes 2 - Cross-combination IOU Loss, GIOU Loss, DIOU Loss, CIOU Loss

PCL calculates the point cloud OBB bounding box based on the eccentric moment of inertia

Yolov5/Yolov7 improvement --- attention mechanism: SimAM (no parameter Attention) and NAM (based on standardized attention module), the effect spikes CBAM, SE

Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism

Improvement method of model training effect under the framework of artificial intelligence (Pytorch)

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn 계열 알고리즘 개선 [NO.79] 개선된 손실 함수는 VariFocal Loss입니다.

MPDIoU: Ein Verlust für effiziente und genaue Bounding-Box-Regression – Papierstudiennotizen

MPDIoU: Ein Verlust für eine effiziente und genaue Bounding-Box-Regression

Bounding-Box-Regression

Bounding-Box Regression

앵커 프레임 손실 보고서 다운로드 Iou-Loss [IoU Loss, GIoU Loss, DioU Loss, CIoU Loss, CDIoU Loss, F-EIoU Loss, α-IoU Loss]

[Target Detection] AAAI20 - Improving Bounding Box Regression "Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression"

The latest ranking of the top ten accurate spot gold price chart software in China (comprehensive version)

yolov8 use

추천

행

모듈을 찾을 수 없음: 오류: "xxx"에서 "xxx"를 해결할 수 없으면 이 문제가 해결됩니다.

MATLAB은 다채로운 트리 다이어그램을 그립니다.

[셸] 위치 매개 변수 및 특수 $ 1 $ @ # $ 등

golang- 주 2

자바 오류: 잘못된 키 크기 또는 기본 매개변수

【题解】AcWing 93.递归实现组合型枚举

Charles 패킷 캡처 도구 3: Charles 인터페이스 소개

웹 스톰 코드 아래에 물결 선이 나타납니다.

화웨이 클라우드 서버 centos7.3 설치 바람둥이

Baidu의 23Q2 재무 보고서 최신 발표: 매출과 이익이 성장을 가속화하고 AI + 생태학적 전략이 점차 규모를 보이고 있습니다.

아카이브

기타

2020-04-08(1460)

2020-04-07(1517)

2020-04-06(1499)

2020-04-05(1440)

2020-04-04(1629)

2020-04-03(1644)

2020-04-02(1572)

2020-04-01(1665)

2020-03-31(1639)

2020-03-30(1334)