Backward Compatible Object Detection Using HDR Image Content
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3010340
Abstract: Convolution Neural Network (CNN)-based object detection models have achieved unprecedented accuracy in challenging detection tasks. However, existing detection models (detection heads) trained on 8-bits/pixel/channel low dynamic range (LDR) images are unable to detect relevant objects… read more here.
Keywords: ldr; detection heads; object detection; image ... See more keywords
Enhanced Head: Exploring Strong Detection Heads With Vision Transformer
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2025.3604917
Abstract: As a crucial component of object detectors, current detection heads often lack the capability to effectively utilize contextual information, adapt to deformable objects, and align features and tasks. However, most existing methods prioritize a single… read more here.
Keywords: task; detection heads; attention; enhanced head ... See more keywords
A scalable multi-modal learning fruit detection algorithm for dynamic environments
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2024.1518878
Abstract: Introduction To enhance the detection of litchi fruits in natural scenes, address challenges such as dense occlusion and small target identification, this paper proposes a novel multimodal target detection method, denoted as YOLOv5-Litchi. Methods Initially,… read more here.
Keywords: detection; fruit detection; rate; detection heads ... See more keywords