Tag: small object detection

A lightweight YOLO architecture integrates MobileNetV2 and multiscale attention to boost small object detection accuracy while reducing computational latency.

Researchers at Ningbo University developed PestFG-RTDETR, a transformer-based detector that improves small pest detection in dense trap-captured images with higher ...

A new end-to-end neural network called SPDNet combines infrared and visible-light imagery to detect small space debris under challenging illumination, ...

Adding a stride-4 P2 detection branch to YOLOv11n raised tiny fabric defect detection mAP@0.5 by 5.8 percentage points on the ...

A modified YOLOv5 architecture paired with a fuzzy, Cr-channel color-guided patching strategy improves detection of small and distant faces on ...

A 2026 hospital computer-vision study combined small-object detection, wrist-position checks and memory-enhanced motion analysis to identify hazards and abnormal behavior ...

An enhanced YOLOv11 model developed for printed circuit board inspection achieved mean average precision of 96.1% at an intersection-over-union threshold ...

Researchers developed GDH-Det, an underwater object detection method that uses a conditional diffusion network to synthesize degraded training images and ...

Chinese researchers have enhanced a transformer-based detector to automatically identify and count tiny shrimp in sonar echograms, achieving over 84 ...

A hybrid quantum-classical detector called Q-SODA uses an eight-qubit entangling circuit to achieve record precision on small object detection while ...