Mpdiou: a loss for efficient and accurate bounding box regression
S Ma, Y Xu - arxiv preprint arxiv:2307.07662, 2023 - arxiv.org
Bounding box regression (BBR) has been widely used in object detection and instance
segmentation, which is an important step in object localization. However, most of the existing …
segmentation, which is an important step in object localization. However, most of the existing …
Enhancing geometric factors in model learning and inference for object detection and instance segmentation
Deep learning-based object detection and instance segmentation have achieved
unprecedented progress. In this article, we propose complete-IoU (CIoU) loss and Cluster …
unprecedented progress. In this article, we propose complete-IoU (CIoU) loss and Cluster …
Improving multispectral pedestrian detection by addressing modality imbalance problems
Multispectral pedestrian detection is capable of adapting to insufficient illumination
conditions by leveraging color-thermal modalities. On the other hand, it is still lacking of in …
conditions by leveraging color-thermal modalities. On the other hand, it is still lacking of in …
Occlusion handling and multi-scale pedestrian detection based on deep learning: A review
F Li, X Li, Q Liu, Z Li - IEEE Access, 2022 - ieeexplore.ieee.org
Pedestrian detection is an important branch of computer vision, and has important
applications in the fields of autonomous driving, artificial intelligence and video surveillance …
applications in the fields of autonomous driving, artificial intelligence and video surveillance …
Deep learning-based solar-cell manufacturing defect detection with complementary attention network
The automatic defects detection for solar cell electroluminescence (EL) images is a
challenging task, due to the similarity of defect features and complex background features …
challenging task, due to the similarity of defect features and complex background features …
Deep learning serves traffic safety analysis: A forward‐looking review
This paper explores deep learning (DL) methods that are used or have the potential to be
used for traffic video analysis, emphasising driving safety for both autonomous vehicles and …
used for traffic video analysis, emphasising driving safety for both autonomous vehicles and …
BAF-detector: An efficient CNN-based detector for photovoltaic cell defect detection
The multiscale defect detection for photovoltaic (PV) cell electroluminescence (EL) images is
a challenging task, due to the feature vanishing as network deepens. To address this …
a challenging task, due to the feature vanishing as network deepens. To address this …
PAC-Net: Multi-pathway FPN with position attention guided connections and vertex distance IoU for 3D medical image detection
Automatic medical image detection aims to utilize artificial intelligence techniques to detect
lesions in medical images accurately and efficiently, which is one of the most important tasks …
lesions in medical images accurately and efficiently, which is one of the most important tasks …
Self-attention enhanced selective gate with entity-aware embedding for distantly supervised relation extraction
Distantly supervised relation extraction intrinsically suffers from noisy labels due to the
strong assumption of distant supervision. Most prior works adopt a selective attention …
strong assumption of distant supervision. Most prior works adopt a selective attention …
Reconcile prediction consistency for balanced object detection
K Wang, L Zhang - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Classification and regression are two pillars of object detectors. In most CNN-based
detectors, these two pillars are optimized independently. Without direct interactions between …
detectors, these two pillars are optimized independently. Without direct interactions between …