就是SINet中的RF模块,用于扩大感受野,经过RFB模块后,通道数都降低为64。 ACFM(Attention-induced Cross-level Fusion Module) Fb进行上采样后与Fa进行element-wise add,送入MSCA中得到64通道的注意力系数wei。 Fa与wei进行element-wise multitude。 Fb与1-wei进行element-wise multitude。 得到的结果相加再进行3x3卷...
This repository provides code for "Context-aware Cross-level Fusion Network for Camouflaged Object Detection" IJCAI-2021. The journal extension version of our paper is accepted at IEEE TCSVT 2022 (Paper|GitHub). 2. Proposed Baseline 2.1. Training/Testing ...
1.准备工作 Paper:Context-Aware Pretraining for Efficient Blind Image Decomposition (thecvf.com)2.论文介绍 TASK:利用预训练能够更高效的实现Blind Image Decomposition(可以理解成任意图像的分解),以下…
Research on Context Aware Service Based on IOT This paper presented the design of a Context Aware Service (CAS) system based on Internet of Things (IOT). The software architecture and main modules are explained as well. The current situation of IOT and the scheme of CAS have been ana... ...
And we use binary cross-entropy loss for training the ILCB. To validate the proposed methods, YOLOv3 is trained separately with ILCB and the SSAM, and then we Conclusion In this work, we propose a global context-aware network based on YOLOv3 for computer-aided diagnosis of cervical ...
In this paper, we propose a context-aware, self-optimizing, adaptive system for sensor data fusion, based on a three-tier architecture. Heterogeneous data collected by sensors at the lowest tier are combined by a dynamic Bayesian network at the intermediate tier, which also integrates contextual ...
Second, we introduce semantics into the conformed low level features through guidance from semantically aware features. Finally, we institute the availability of various possible contextual features at feature fusion to enrich context information. The proposed approach demonstrates competitive performance on ...
Image fusionDiscrete Wavelet transform (DWTAgentMilitary sensor Networks (MSNThis paper proposes a Context Aware Agent based Military Sensor Network (CAMSN) to form an improvedinfrastructure for multi-sensor image fusion. It considers contexts driven by a node and sink. The contexts such asgeneral ...
However, most of the recently developed convolutional neural network (CNN)-based deep models have primarily regarded SOD as a pixel-level dense classification task [9], [33], [45], [23], [34], [12]. The context-aware relation between salient objects and image context has not yet been ...
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding(2024.06.27) Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?(2024.06.27) Efficient World Models with Context-Aware Tokenization(2024.06.27) ...