4 results

ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation

Ming Kang; Chee‐Ming Ting; Fung Fung Ting et al.

Image and Vision Computing · 2024 · English · OpenAlex Scopus

We propose a novel Attentional Scale Sequence Fusion based You Only Look Once (YOLO) framework (ASF-YOLO) which combines spatial and scale features for accurate and fast cell instance segmentation. Built on the YOLO segmentation framework, we employ the Scale Sequence Feature Fusion (SSFF) module…

LDConv: Linear deformable convolution for improving convolutional neural networks

Xin Zhang; Yingze Song; Tingting Song et al.

Image and Vision Computing · 2024 · English · OpenAlex Scopus

Neural networks based on convolutional operations have achieved remarkable results in the field of deep learning , but there are two inherent flaws in standard convolutional operations. On the one hand, the convolution operation is confined to a local window, so it cannot capture information from…

Weighted boxes fusion: Ensembling boxes from different object detection models

Roman Aleksandrovich Solovyev; Weimin Wang; Tatiana Gabruseva

Image and Vision Computing · 2021 · English · OpenAlex Scopus

Deep multimodal fusion for semantic image segmentation: A survey

Yifei Zhang; Désiré Sidibé; Olivier Morel et al.

Image and Vision Computing · 2020 · English · OpenAlex Scopus