Target detection algorithm improvement series embedding dynamic snake convolution module DySnakeConv - Code World

Target detection algorithm improvement series embedding dynamic snake convolution module DySnakeConv

Enterprise 2023-12-16 22:49:43 views: null

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Origin blog.csdn.net/DM_zx/article/details/133996150

Target detection algorithm improvement series embedding dynamic snake convolution module DySnakeConv

Dynamic snake convolution module DySnakeConv implemented in pytorch code

Target detection algorithm improvement series embedding Deformable ConvNets v2 (DCNv2)

Practical implementation of industrial small target defect detection based on Yolov8 (2): Dynamic Snake Convolution (Dynamic Snake Convolution), achieving violent gains | ICCV2023

Target detection algorithm improvement series adds EIOU, SIOU, AlphaIOU, FocalEIOU, etc.

Target detection - yolo series algorithm

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.69] Improvement of small targets in remote sensing image target detection CATnet (ContextAggregation module)

YOLO series target detection algorithm - YOLOR

YOLO series target detection algorithm - YOLOX

YOLO series target detection algorithm - YOLOS

YOLOv8 improves the effective point increase series->Teach you step-by-step to add dynamic snake convolution (Dynamic Snake Convolution)

Photovoltaic cell defect detection based on Yolov8 introduces ICCV2023 dynamic snake convolution and the exclusive network-first multi-dimensional collaborative attention module MCA, achieving full innovation and growth

opencv dynamic target detection

YOLO series target detection algorithm-YOLOv2

YOLO series target detection algorithm - PP-YOLO

YOLO series target detection algorithm-YOLOv3

YOLO series target detection algorithm-YOLOv5

YOLO series target detection algorithm - PP-YOLOE

YOLO series target detection algorithm-YOLOv4

YOLO series target detection algorithm - PP-YOLOv2

Target detection algorithm: interpretation of anchor_free series

Target Detection YOLO Algorithm Series Study Notes Chapter 1 - Overview of Target Detection Algorithms

YOLOv5 improvement: Introduce DenseNet idea to create dense connection module, completely improve target detection performance

Improvement of Detection and Segmentation Algorithm (Part 2) Residual Feature Augmentation (RFA Module) and Adaptive Spatial Fusion (ASF Module)

Summary of target detection algorithm (Detection)

Target detection -> SSD algorithm

[Target Detection] Radar Target CFAR Detection Algorithm

Target detection algorithm improvement series embedding Deformable ConvNets v2 (DCNv2)

Target detection algorithm improvement series embedding Deformable ConvNets v2 (DCNv2)

Target detection algorithm improvement series embedding Deformable ConvNets v2 (DCNv2)

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