[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Wen et al., 2023 - Google Patents

A lightweight small object detection algorithm based on improved YOLOv5 for driving scenarios

Wen et al., 2023

Document ID
11805040351242748487
Author
Wen Z
Su J
Zhang Y
Li M
Gan G
Zhang S
Fan D
Publication year
Publication venue
International Journal of Multimedia Information Retrieval

External Links

Snippet

Small object detection has been a longstanding challenge in the field of object detection, and achieving high detection accuracy is crucial for autonomous driving, especially for small objects. This article focuses on researching small object detection algorithms in driving …
Continue reading at link.springer.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
    • G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design

Similar Documents

Publication Publication Date Title
Zhan et al. An improved Yolov5 real-time detection method for small objects captured by UAV
Gomaa et al. Faster CNN-based vehicle detection and counting strategy for fixed camera scenes
Tian et al. Small object detection via dual inspection mechanism for UAV visual images
Zeng et al. SCA-YOLO: A new small object detection model for UAV images
Zhao et al. Weather recognition via classification labels and weather-cue maps
Wen et al. A lightweight small object detection algorithm based on improved YOLOv5 for driving scenarios
Wang et al. MashFormer: A novel multiscale aware hybrid detector for remote sensing object detection
Wang et al. Material-aware Cross-channel Interaction Attention (MCIA) for occluded prohibited item detection
Sun et al. Marine ship instance segmentation by deep neural networks using a global and local attention (GALA) mechanism
Liu et al. Road segmentation with image-LiDAR data fusion in deep neural network
Sun et al. SES-YOLOv8n: automatic driving object detection algorithm based on improved YOLOv8
Dong et al. Multiple spatial residual network for object detection
Ge et al. WGI-Net: A weighted group integration network for RGB-D salient object detection
Tian et al. Domain adaptive object detection with model-agnostic knowledge transferring
Wang et al. Guided residual network for RGB-D salient object detection with efficient depth feature learning
Li et al. Vehicle re-identification method based on Swin-Transformer network
Zhang et al. Urformer: Unified representation lidar-camera 3d object detection with transformer
Ren et al. Mffnet: multimodal feature fusion network for point cloud semantic segmentation
Shi et al. Cpa-yolov7: Contextual and pyramid attention-based improvement of yolov7 for drones scene target detection
Deng et al. A triple-path spectral–spatial network with interleave-attention for hyperspectral image classification
Jie et al. Photovoltaic power station identification using refined encoder–decoder network with channel attention and chained residual dilated convolutions
Lin et al. Mlf-det: Multi-level fusion for cross-modal 3d object detection
Wei et al. Lightweight multimodal feature graph convolutional network for dangerous driving behavior detection
Zang et al. MAPD: multi-receptive field and attention mechanism for multispectral pedestrian detection
Chen et al. Small target detection algorithm for printing defects detection based on context structure perception and multi-scale feature fusion