A Lightweight Image Segmentation Algorithm Based on YOLOv8

No abstract is available for this paper.

• Publication year

  2025

• Venue

  Youth Academic Annual Conference of Chinese Association of Automation

• Publication date

  2025-05-17

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1109/YAC66630.2025.11150188
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

  2022cited by this paper
• Omni-Dimensional Dynamic Convolution

  2022cited by this paper
• YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

  2022cited by this paper
• YOLOv4: Optimal Speed and Accuracy of Object Detection

  2020cited by this paper
• Dynamic Convolution: Attention Over Convolution Kernels

  2019cited by this paper
• YOLOv3: An Incremental Improvement

  2018cited by this paper
• Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks

  2017cited by this paper
• Generative Adversarial Networks: An Overview

  2017cited by this paper
• A Survey on Image Segmentation Methods using Clustering Techniques

  2017cited by this paper
• A Survey on Different Edge Detection Techniques for Image Segmentation

  2017cited by this paper
• Comparison of The Local and Global Thresholding Methods in Image Segmentation

  2016cited by this paper
• Deep Learning

  2016cited by this paper
• Deep Residual Learning for Image Recognition

  2015cited by this paper
• You Only Look Once: Unified, Real-Time Object Detection

  2015cited by this paper
• Minimization of Region-Scalable Fitting Energy for Image Segmentation

  2008cited by this paper
• Gradient-based learning applied to document recognition

  1998cited by this paper
• Dynamic recurrent neural networks: Theory and applications

  1994cited by this paper
• Neocognitron: A neural network model for a mechanism of visual pattern recognition

  1983cited by this paper
• Features of Similarity

  1977cited by this paper

• No citing papers are available for this paper.