Robust detection and refinement of saliency identification

Robust detection and refinement of saliency identification - Nature

This paper suggests a robust and effective methodology for salient object detection. This method involves two main stages. The first stage is to ...

Robust detection and refinement of saliency identification - PubMed

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

(PDF) Robust detection and refinement of saliency identification

This paper suggests a robust and effective methodology for salient object detection. This method involves two main stages. The first stage is to ...

Robust detection and refinement of saliency identification - OUCI

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

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

(3) Refinement. We employ a simple yet effective encoder–decoder architecture network to refine the saliency results of purified images. The input and output of ...

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 ...

Robust Saliency Detection via Regularized Random Walks Ranking

[8] illustrate the workflow of a com- bined color contrast and color distribution saliency detec- tion algorithm, together with a refinement process to sup-.

Saliency Detection - an overview | ScienceDirect Topics

Some methods employed user's interest based on eye-gaze movement and facial expression to identify the salient object. Methods in Peng et al. (2010, 2011) ...

Deep Robust Unsupervised Saliency Prediction With Self-Supervision

Abstract:Deep neural network (DNN) based salient object detection in images based on high-quality labels is expensive.

Visual comparisons of results generated by our saliency model with...

This paper suggests a robust and effective methodology for salient object detection. This method involves two main stages. The first stage is to produce a ...

Ground truth based comparison of saliency maps algorithms - Nature

... identified the most reliable techniques and the solutions which ... Robust detection and refinement of saliency identification. Article ...

[PDF] Robust saliency detection via regularized random walks ranking

This paper proposes a novel bottom-up saliency detection approach that takes advantage of both region-based features and image details and proposes the ...

Robust Saliency Detection via Fusing Foreground and Background ...

Last, a refinement step based on geodesic distance is utilized to enhance salient regions, thus deriving the final saliency map. Particularly we ...

Deep Robust Unsupervised Saliency Prediction With Self-Supervision

This method updates the pseudo-labels with the predictions of a saliency detection network and yields very noisy saliency predictions. In contrast, we refine ...

R3Net: Recurrent Residual Refinement Network for Saliency Detection

identity mapping. Saliency Map (S1). Residual Refinement Block (1st RRB) ... Saliency optimization from robust background detection. In CVPR, 2014 ...

Saliency Detection Based on Multiple-Level Feature Learning - PMC

Finding the most interesting areas of an image is the aim of saliency detection. Conventional methods based on low-level features rely on ...

Robust Perception and Precise Segmentation for Scribble ...

Robust Perception and Precise Segmentation for Scribble-Supervised RGB-D Saliency Detection ... Abstract: This paper proposes a scribble-based ...

Salient object detection via reliable boundary seeds and saliency ...

Salient object detection can identify the most distinctive objects in a scene. In this study, a novel graph‐based approach is proposed to ...

Salient object detection via reliable boundary seeds and saliency ...

Salient object detection can identify the most distinctive objects in a scene. In this study, a novel graph-based approach is proposed to ...

Joint salient object detection and existence prediction - SpringerLink

Such an assumption often leads to less appealing saliency maps on the background images with no salient object at all. Therefore, handling those cases can ...