Salient Object Detection via Deep Hierarchical Context Aggregation ...
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Aug 26, 2019 · We utilize deep layer aggregation to fuse features iteratively and hierarchically across layers to obtain richer information. Then we add multi- ...
We utilize deep layer aggregation to fuse features iteratively and hierarchically across layers to obtain richer information.
This work utilizes deep layer aggregation to fuse features iteratively and hierarchically across layers to obtain richer information and adds multi-layer ...
For salient object detection tasks, the input of a model is a visual image with shape H × W × 3 and the output is an image of the same size, with each pixel ...
Paper Title, SALIENT OBJECT DETECTION VIA DEEP HIERARCHICAL CONTEXT AGGREGATION AND MULTI-LAYER SUPERVISION ; Authors, Chao Zhang, Zhiguo Cao, Xin Xiong, Ke Xian ...
Aug 25, 2020 · In this paper, we propose a novel Context Feature Aggregation Network with Boundary Contrast Embedding (CACNet) to flexibly integrate context information.
In this repository, we mainly focus on deep learning based saliency methods (2D RGB, 3D RGB-D/T, Video SOD and 4D Light Field) and provide a summary (Code ...
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It is observed that the contexts of a natural image can be well expressed by a high-to-low self-learning of side-output convolutional features, ...
May 10, 2024 · This paper presents a mini-review of recent works in Salient Object Detection (SOD). First, We introduce SOD and its application in image processing tasks and ...
Mar 24, 2023 · Abstract—RGB-D saliency detection aims to fuse multi-modal cues to accurately localize salient regions. Existing works often.