Results 61 to 70 of about 79,319 (254)
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Advanced Science, EarlyView.Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li +23 more
wiley +1 more source
Face Detection and Segmentation Based on Improved Mask R-CNN
Discrete Dynamics in Nature and Society, 2020 Deep convolutional neural networks have been successfully applied to face detection recently. Despite making remarkable progress, most of the existing detection methods only localize each face using a bounding box, which cannot segment each face from the
Kaihan Lin +6 more
doaj +1 more source
BUILDING SEGMENTATION FROM AIRBORNE VHR IMAGES USING MASK R-CNN [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Up-to-date 3D building models are important for many applications. Airborne very high resolution (VHR) images often acquired annually give an opportunity to create an up-to-date 3D model.
K. Zhou +3 more
doaj +1 more source
AC R-CNN: Pixelwise Instance Segmentation Model for Agrocybe cylindracea Cap
Agronomy, 2023 The popularity of Agrocybe cylindracea is increasing due to its unique flavor and nutritional value. The Agrocybe cylindracea cap is a key aspect of the growth process, and high-throughput observation of cap traits in greenhouses by machine vision is a ...
Hua Yin +5 more
doaj +1 more source
Emergence of Object Segmentation in Perturbed Generative Models [PDF]
, 2019 We introduce a novel framework to build a model that can learn how to segment objects from a collection of images without any human annotation. Our method builds on the observation that the location of object segments can be perturbed locally relative to
Bielski, Adam, Favaro, Paolo
core +1 more source
S4Net: Single Stage Salient-Instance Segmentation
, 2019 We consider an interesting problem-salient instance segmentation in this paper. Other than producing bounding boxes, our network also outputs high-quality instance-level segments.
Cheng, Ming-Ming +5 more
core +1 more source
Unveil Fundamental Graph Properties for Neural Architecture Search
Advanced Science, EarlyView.This paper proposes NASGraph, a graph‐based framework that represents neural architectures as graphs whose structural properties determine performance. By revealing structure–performance relationships, NASGraph enables efficient neural architecture search with significantly reduced computation.
Zhenhan Huang +4 more
wiley +1 more source
MU R-CNN: A Two-Dimensional Code Instance Segmentation Network Based on Deep Learning
Future Internet, 2019 In the context of Industry 4.0, the most popular way to identify and track objects is to add tags, and currently most companies still use cheap quick response (QR) tags, which can be positioned by computer vision (CV) technology.
Baoxi Yuan +8 more
doaj +1 more source
Learnable Diffusion Framework for Mouse V1 Neural Decoding
Advanced Science, EarlyView.We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng +2 more
wiley +1 more source
Mask R-CNN-Based Detection and Segmentation for Pulmonary Nodule 3D Visualization Diagnosis
IEEE Access, 2020 3D visualization diagnosis for pulmonary nodule detection and segmentation is becoming a promising topic in the field of surgical researches and applications.
Linqin Cai +3 more
doaj +1 more source