ArticleAnimals : an open access journal from MDPI2023
A Forest Wildlife Detection Algorithm Based on Improved YOLOv5s.
Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Analyzing the enhancement of CNN-YOLO and transformer based architectures for real-time animal detection in complex ecological environments.Scientific reports · 2025Pooled it
- DSCF-DET: An RT-DETR-Based Framework for Fine-Grained Detection of Musk Deer and Visually Similar Artiodactyls.Biology · 2026Article
- DMN-YOLO: A Lightweight Small-Object Detector for Multi-Species Animal Detection in UAV Grassland Imagery.Animals : an open access journal from MDPI · 2026Article
- RCAF-Net: Wildlife Target Detection in Complex Forest Scenarios.Animals : an open access journal from MDPI · 2026Article
- Integrating Line Transect Distance Sampling and Spatial Analysis to Assess Local Density and Habitat Use ofLife (Basel, Switzerland) · 2026Article
- Lightweight Vision-Transformer Network for Early Insect Pest Identification in Greenhouse Agricultural Environments.Insects · 2026Article
- YOLOv11-Lite architecture for wildlife detection from drone images.Frontiers in artificial intelligence · 2026Article
- Research on Sika Deer Behavior Recognition Based on YOLOv11 Lightweight SDB-YOLO Model for Small Sample Learning.Animals : an open access journal from MDPI · 2025Article
- Detection of anomalous activities around telecommunications infrastructure based on YOLOv8s.Scientific reports · 2025Article
- Improved Re-Parameterized Convolution for Wildlife Detection in Neighboring Regions of Southwest China.Animals : an open access journal from MDPI · 2024Article
- An improved lightweight object detection algorithm for YOLOv5.PeerJ. Computer science · 2024Article
- Deep learning-based image classification of sea turtles using object detection and instance segmentation models.PloS one · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
A forest wildlife detection algorithm based on an improved YOLOv5s network model is proposed to advance forest wildlife monitoring and improve detection accuracy in complex forest environments. This research utilizes a data set from the Hunan Hupingshan National Nature Reserve in China, to which data augmentation and expansion methods are applied to extensively train the proposed model. To enhance the feature extraction ability of the proposed model, a weighted channel stitching method based on channel attention is introduced. The Swin Transformer module is combined with a CNN network to add a Self-Attention mechanism, thus improving the perceptual field for feature extraction. Furthermore, a new loss function (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.