YOLOV7 improvement: replace WIOU to achieve lossless gains - Code World

YOLOV7 improvement: replace WIOU to achieve lossless gains

Enterprise 2023-10-05 00:50:36 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/m0_51530640/article/details/132474629

YOLOV7 improvement: replace WIOU to achieve lossless gains

YOLOV7 improvements: replaced by MPDIOU to achieve effective gains

yolov7 improvement series

YOLOv5 improvement series (11) - add loss function EIoU, AlphaIoU, SIoU, WIoU

Detailed explanation of YOLOv7 improvement

YOLOV5 improvements: replaced by MPDIOU to achieve effective gains

YOLOv5 Improvement Series (17)——Replacing MPDIoU of IoU (ELSEVIER 2023|Beyond WIoU, EIoU, etc.|Measured increase point)

[YOLOv7/YOLOv5 series algorithm improvement NO.7] Loss function improvement

YOLOV5/YOLOV7/YOLOV8 Improvement Column

Gain point artifact: small target performance improvement based on Yolov5/Yolov7

YOLOv7 algorithm reconstruction: personal self-improvement, as simple as YOLOv5, only 31 layers

Yolov5/Yolov7 improvement --- attention mechanism: ShuffleAttention, ECA, EffectiveSE, SE

[YOLOv7/YOLOv5 series improvement NO.52] Integrating the C2f module in YOLOv8

YOLOv7 Improvement 22: Raising Point Artifact - Introducing Recursive Gated Convolution (gnConv)

YOLOv7 Improvement: CVPR 2023 | SCConv: Plug-and-Play Convolution for Spatial and Channel Reconstruction

YOLOV7 improvement: Add RCS-OSA module to improve detection speed

[Practical Selection] Fruit Recognition System: Improvement of BoTNet-Transformer YOLOv7

yolov3 yolov4 yolov5 yolov6 yolov7 yolov8 yolox Algorithm improvement, algorithm customization, algorithm guidance

YoloV8 improvement strategy: Based on hierarchical attention FasterViT, let YoloV8 achieve a leap in performance

Yolov5/Yolov7 improvement --- attention mechanism: Polarized Self-Attention, the effect spikes CBAM, SE

[YOLOv7/YOLOv5 series improvement NO.53] Integrating the ECVBlock module in the CFPNet network to improve the detection ability of small targets

[YOLOv7/YOLOv5 series algorithm improvement NO.8] Non-maximum suppression NMS algorithm improvement Soft-nms

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.67] Add attention mechanism MHSA

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.71] attention mechanism Expectation-Maximization Attention (EMA module)

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.72] attention mechanism Linear Context Transform Block (LCT module)

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.73] Adding asymptotic feature pyramid network (AFPN module)

YOLOv5 improvement series (13) - replace the activation function of SiLU, ReLU, ELU, Hardswish, Mish, Softplus, AconC series, etc.

YOLOv5 Improvement Series (19) - Swin TransformerV1 to replace the backbone network (ViT model with smaller parameters)

YOLOv5 improvement series (18) - replace Neck's AFPN (new progressive feature pyramid | beyond PAFPN | measured increase point)

YOLOv5 Improvement Series (21) - RepViT to replace the backbone network (Tsinghua ICCV 2023|The latest open source mobile terminal ViT)

Recommended

Ranking

Vue the mount point, variable, event, js objects, textual instructions, filters, and event attribute command instructions

websphere8.55 access https://IP:port/fms

High-low version version vsphere deployment export of OVF newspaper "vmx-13 series hardware is not supported" solution

Codeforces 1254C / 1255F Point Ordering (interactive title)

quartz2.3.0 (fourteen) trigger trigger prioritization

Python knowledge notes (+4): popular understanding of concepts such as list (List), tuple (Tuple) and string (String)

Python2 video tutorials

The 2023 Amazon Cloud Technology Game Developer Conference explores the vast boundaries of games from a technical perspective

Unity-based event manager

milk tea girl

Daily

More

2025-03-21(0)

2025-03-20(0)

2025-03-19(0)

2025-03-18(0)

2025-03-17(0)

2025-03-16(0)

2025-03-15(0)

2025-03-14(0)

2025-03-13(0)

2025-03-12(0)