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Sfafnet:Skip-Connected Feature Attention Fusion Network for Underwater Small Object Detection

https://doi.org/10.2139/ssrn.5370376
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inferredcites →https://doi.org/10.1007/978-3-030-01234-2_1openalex-snapshot
CBAM: Convolutional Block Attention Module
inferredcites →https://doi.org/10.1007/978-3-030-01240-3_17openalex-snapshot
PSANet: Point-wise Spatial Attention Network for Scene Parsing
inferredcites →https://doi.org/10.1007/978-3-030-58452-8_13openalex-snapshot
End-to-End Object Detection with Transformers
inferredcites →https://doi.org/10.1007/978-3-030-58565-5_17openalex-snapshot
Dual Refinement Underwater Object Detection Network
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_2openalex-snapshot
SSD: Single Shot MultiBox Detector
inferredcites →https://doi.org/10.1007/s00371-023-02886-yopenalex-snapshot
SCA-YOLO: a new small object detection model for UAV images
inferredcites →https://doi.org/10.1007/s00521-019-04097-wopenalex-snapshot
A transfer convolutional neural network for fault diagnosis based on ResNet-50
inferredcites →https://doi.org/10.1007/s00521-020-05217-7openalex-snapshot
Scale-aware feature pyramid architecture for marine object detection
inferredcites →https://doi.org/10.1007/s00521-021-06607-1openalex-snapshot
EFLDet: enhanced feature learning for object detection
inferredcites →https://doi.org/10.1007/s10489-022-03622-0openalex-snapshot
Multiple attentional path aggregation network for marine object detection
inferredcites →https://doi.org/10.1016/j.aquaeng.2020.102117openalex-snapshot
A modified YOLOv3 model for fish detection based on MobileNetv1 as backbone
inferredcites →https://doi.org/10.1016/j.eswa.2021.115306openalex-snapshot
S-FPN: A shortcut feature pyramid network for sea cucumber detection in underwater images
inferredcites →https://doi.org/10.1016/j.neucom.2019.01.084openalex-snapshot
Faster R-CNN for marine organisms detection and recognition using data augmentation
inferredcites →https://doi.org/10.1016/j.neucom.2023.01.056openalex-snapshot
A systematic review and analysis of deep learning-based underwater object detection
inferredcites →https://doi.org/10.1016/j.neunet.2021.01.005openalex-snapshot
Improved deep CNNs based on Nonlinear Hybrid Attention Module for image classification
inferredcites →https://doi.org/10.1016/j.patcog.2022.108926openalex-snapshot
SWIPENET: Object detection in noisy underwater scenes
inferredcites →https://doi.org/10.1016/j.patcog.2023.109377openalex-snapshot
Cascaded feature fusion with multi-level self-attention mechanism for object detection
inferredcites →https://doi.org/10.1016/j.patcog.2023.109511openalex-snapshot
Underwater object detection algorithm based on feature enhancement and progressive dynamic aggregation strategy
inferredcites →https://doi.org/10.1038/s41598-023-36724-xopenalex-snapshot
LKC-Net: large kernel convolution object detection network
inferredcites →https://doi.org/10.1049/iet-cvi.2018.5508openalex-snapshot
Automated diabetic retinopathy grading and lesion detection based on the modified R‐FCN object‐detection algorithm
inferredcites →https://doi.org/10.1049/iet-its.2018.5005openalex-snapshot
Fast single shot multibox detector and its application on vehicle counting system
inferredcites →https://doi.org/10.1109/access.2019.2913882openalex-snapshot
MR-CNN: A Multi-Scale Region-Based Convolutional Neural Network for Small Traffic Sign Recognition
inferredcites →https://doi.org/10.1109/access.2024.3396224openalex-snapshot
Improved YOLOv8 Model for a Comprehensive Approach to Object Detection and Distance Estimation
inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot
Feature Pyramid Networks for Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2018.00644openalex-snapshot
Cascade R-CNN: Delving Into High Quality Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2018.00913openalex-snapshot
Path Aggregation Network for Instance Segmentation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00978openalex-snapshot
Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection
inferredcites →https://doi.org/10.1109/iccv.2019.00972openalex-snapshot
FCOS: Fully Convolutional One-Stage Object Detection
inferredcites →https://doi.org/10.1109/icme51207.2021.9428241openalex-snapshot
HRDNet: High-Resolution Detection Network for Small Objects
inferredcites →https://doi.org/10.1109/oceans47191.2022.9977222openalex-snapshot
YOLOX based Underwater Object Detection for Inshore Aquaculture
inferredcites →https://doi.org/10.1109/tip.2021.3065239openalex-snapshot
SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection
inferredcites →https://doi.org/10.1109/tip.2021.3072811openalex-snapshot
Cross-Layer Feature Pyramid Network for Salient Object Detection
inferredcites →https://doi.org/10.1109/tip.2021.3074738openalex-snapshot
Composited FishNet: Fish Detection and Species Recognition From Low-Quality Underwater Videos
inferredcites →https://doi.org/10.1109/tnnls.2018.2876865openalex-snapshot
Object Detection With Deep Learning: A Review
inferredcites →https://doi.org/10.1109/tnnls.2024.3376563openalex-snapshot
DPNet: Dual-Path Network for Real-Time Object Detection With Lightweight Attention
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2018.2858826openalex-snapshot
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1109/tpami.2019.2922181openalex-snapshot
Object Detection from Scratch with Deep Supervision
inferredcites →https://doi.org/10.3389/fmars.2022.1056300openalex-snapshot
Underwater object detection algorithm based on attention mechanism and cross-stage partial fast spatial pyramidal pooling
inferredcites →https://doi.org/10.3389/fmars.2023.1112310openalex-snapshot
Vision-based underwater target real-time detection for autonomous underwater vehicle subsea exploration
inferredcites →https://doi.org/10.3390/app13042746openalex-snapshot
Underwater Object Detection Method Based on Improved Faster RCNN
inferredcites →https://doi.org/10.3390/rs13224706openalex-snapshot
Lightweight Underwater Object Detection Based on YOLO v4 and Multi-Scale Attentional Feature Fusion
inferredcites →https://doi.org/10.3390/rs14184487openalex-snapshot
Underwater Object Detection Based on Improved EfficientDet
inferredcites →https://doi.org/10.3390/s23052567openalex-snapshot
Underwater Object Detection Using TC-YOLO with Attention Mechanisms
inferredcites →https://doi.org/10.4230/oasics.ng-res.2024.2openalex-snapshot
A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)
inferredcites →https://doi.org/10.48550/arxiv.1709.01507openalex-snapshot
Squeeze-and-Excitation Networks
inferredcites →https://doi.org/10.48550/arxiv.1712.00886openalex-snapshot
Improving Object Detection from Scratch via Gated Feature Reuse
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