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A robust framework combined saliency detection and image ...


A robust framework combined saliency detection and image ...

We propose a framework that combines saliency detection and image classification to improve the generalization performance and robustness.

A robust framework combined saliency detection and image ...

A classification network Inception V3 is used to identify the segmented garbage image. Images of the original Trashnet are fused with complex ...

A robust framework combined saliency detection and image ...

To solve this problem, we propose a framework that combines saliency detection and image classification to improve the generalization performance and robustness ...

A robust framework combined saliency detection and image ... - OUCI

A robust framework combined saliency detection and image recognition for garbage classification. https://doi.org/10.1016/j.wasman.2021.11.027 ·. Journal ...

Robust Saliency Detection via Fusing Foreground and Background ...

This paper proposes a novel bottom-up salient object detection framework which considers both foreground and background cues. First, A ...

Robust detection and refinement of saliency identification - Nature

Salient object detection is an increasingly popular topic in the computer vision field, particularly for images with complex backgrounds and ...

Saliency Optimization from Robust Background Detection

Similarly, in [28], saliency maps computed on multiple scales of image segmentation are combined. These methods adopt a complex CRF/MRF formulation and the.

Saliency bagging: a novel framework for robust salient object detection

The proposed framework generates the saliency map of an image in three phases: (i) Selection of existing saliency detection models and generation of initial ...

Co-Saliency Detection via a Self-Paced Multiple-Instance Learning ...

As an interesting and emerging topic, co-saliency detection aims at simultaneously extracting common salient objects from a group of images.

CosalPure: Learning Concept from Group Images for Robust ... - arXiv

... Images for Robust Co-Saliency Detection. ... In this paper, we propose a novel robustness enhancement framework by first learning the ...

Saliency Detection via Robust Seed Selection of Foreground and ...

[7, 23] proposed a histogram-based contrast (HC) framework, and then combined spatial information to obtain a saliency map based on regional contrast (RC) for ...

Visual saliency detection for RGB-D images under a Bayesian ...

By assuming that deep features are Gaussian distributions, a discriminative mixed-membership naive Bayes (DMNB) model is used to calculate the ...

Robust Visual Saliency Optimization based on Bidirectional Markov ...

Abstract Background Saliency detection aims to automat- ically highlight most important area in an image. Traditional saliency detection methods based on ...

[PDF] Salient object detection for RGB-D image via saliency evolution

Ji. Computer Science. ECCV. 2014. TLDR. A simple fusion framework that combines existing RGB-produced saliency with new depth-induced saliency and a specialized ...

Salient Object Detection Techniques in Computer Vision—A Survey

Similar to SOD, traditional RGB-D models [76,77] rely heavily on hand-crafted features while combining RGB image with depth maps. Models [78,79] ...

Robust salient object detection for RGB images - Semantic Scholar

This model is aware of non-salient image that contains no salient objects at all and thus reduces the false-positive rate and outperforms state-of-the-art ...

(PDF) Robust detection and refinement of saliency identification

... detection, particularly in identifying the challenging salient objects located near the image's boundary. ... framework for various ...

Robust saliency detection via corner information and an energy ...

First of all, the authors construct a background-based saliency map by manifold ranking via superior image corners selected by convex-hull as background prior, ...

Saliency Detection Based on Directional Patches Extraction and ...

contrast in a Bayesian framework to produce a robust saliency map. In [31] ... Wang, A framework of joint low-rank and sparse regression for image.

Robust and Refined Salient Object Detection Based on Diffusion ...

The combination of these two parts enables adversarial detection, allowing benign images ... The original image and its saliency result are concatenated together.