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STOD: toward semi-supervised tiny object detection
Semi-supervised object detection aims to enhance object detectors by utilizing a large number of unlabeled images, which has gained increasing...
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Real-Time Object Detection Based on YOLO-v2 for Tiny Vehicle Object
Object detection plays an essential role in automatic driving system (ADS) and driver assistance system (DAS). However, existing real-time detection...
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Tiny-YOLOv7: Tiny Object Detection Model for Drone Imagery
With the rapid development of drones, tiny object detection in drone-captured scenarios has become a challenge task. However, the altitude of the... -
A novel real-time object detection method for complex road scenes based on YOLOv7-tiny
Road object detection is a key technology in intelligent transportation systems, playing a crucial role in ensuring driving safety and enhancing...
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Tiny polyp detection from endoscopic video frames using vision transformers
Deep learning techniques can be effective in hel** doctors diagnose gastrointestinal polyps. Currently, processing video frame sequences containing...
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High-speed YOLOv4-tiny hardware accelerator for self-driving automotive
Object detection is an important area in self-driving automotive. The YOLO algorithm and its well-embedded implementation is a promising solution for...
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Clothing attribute recognition algorithm based on improved YOLOv4-Tiny
Aiming at the problem of low accuracy of clothing attribute recognition caused by factors such as scale, occlusion and beyond the boundary, a novel...
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A global activated feature pyramid network for tiny pest detection in the wild
Small object detection techniques have been developed for decades, but one of key remaining open challenges is detecting tiny objects in wild or...
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Object search by a concept-conditioned object detector
Object detectors are used for searching all objects belonging to a pre-defined set of categories contained in a given picture. However, users are...
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Two-Stage Deep Learning Segmentation for Tiny Brain Regions
Accurate segmentation of brain regions has become increasingly important in the early diagnosis of brain diseases. Widely used methods for brain... -
From single to universal: tiny lesion detection in medical imaging
Accurate and automatic detection of tiny lesions in medical imaging plays a critical role in comprehensive cancer diagnosis, staging, treatment,...
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RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection
Detecting tiny objects is one of the main obstacles hindering the development of object detection. The performance of generic object detectors tends... -
Hardware acceleration of YOLOv7-tiny using high-level synthesis tools
FPGAs have emerged as a promising platform for implementing neural networks due to their reconfigurability, parallelism, and low power consumption....
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YuNet: A Tiny Millisecond-level Face Detector
Great progress has been made toward accurate face detection in recent years. However, the heavy model and expensive computation costs make it...
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Complementary spatial transformer network for real-time 3D object recognition
Tiny Deep Learning Models offer many advantages in various applications. From the perspective of statistical machine learning theory the...
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Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3
Deep neural networks (DNNs) have delivered unprecedented achievements in the modern Internet of Everything society, encompassing autonomous driving,...
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Safety helmet detection based on improved YOLOv7-tiny with multiple feature enhancement
Safety helmets are vital protective gear for construction workers, effectively reducing head injuries and safeguarding lives. By identification of...
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YOLO-ERF: lightweight object detector for UAV aerial images
The application of object detection techniques in the field of unmanned aerial vehicles (UAVs) is an important research direction in computer vision....
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A lightweight method for small scale traffic sign detection based on YOLOv4-Tiny
Automatic driving requires real-time consideration for traffic sign target detection algorithms while ensuring the accuracy. However, the current...
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Tiny-ME Wasm: Description Logics Reasoning in Your Browser
The World Wide Web is increasingly adopted as an application development platform in desktop and mobile contexts. As a building block of the Semantic...