Saliency Detection

128 papers with code • 7 benchmarks • 13 datasets

Saliency Detection is a preprocessing step in computer vision which aims at finding salient objects in an image.

Source: An Unsupervised Game-Theoretic Approach to Saliency Detection

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Latest papers with no code

CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection

no code yet • 27 Mar 2024

In this paper, we propose a novel robustness enhancement framework by first learning the concept of the co-salient objects based on the input group images and then leveraging this concept to purify adversarial perturbations, which are subsequently fed to CoSODs for robustness enhancement.

Extracting Human Attention through Crowdsourced Patch Labeling

no code yet • 22 Mar 2024

We demonstrated the effectiveness of our method in mitigating bias through improved classification accuracy and the refined focus of the model.

Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation

no code yet • 2 Mar 2024

We propose AuxSegNet+, a weakly supervised auxiliary learning framework to explore the rich information from these saliency maps and the significant inter-task correlation between saliency detection and semantic segmentation.

Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions

no code yet • 1 Mar 2024

Augmentation is an effective alternative to utilize the small amount of labeled protein data.

Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects

no code yet • 5 Feb 2024

To address these issues, we propose a joint attention-guided feature fusion network (JAFFNet) for saliency detection of surface defects based on the encoder-decoder network.

A Saliency Enhanced Feature Fusion based multiscale RGB-D Salient Object Detection Network

no code yet • 22 Jan 2024

SEFF utilizes saliency maps of the neighboring scales to enhance the necessary features for fusing, resulting in more representative fused features.

A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene Classification

no code yet • 19 Jan 2024

Thus, tasks such as scene classification, identification, indexing, etc., can be performed efficiently using the unique summary.

HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping

no code yet • 29 Dec 2023

Further, to ensure the distinguishability among various regions, we introduce a region-level contrastive clustering loss to pull closer similar regions across images.

Viewport Prediction for Volumetric Video Streaming by Exploring Video Saliency and Trajectory Information

no code yet • 28 Nov 2023

To our knowledge, this is the first comprehensive study of viewport prediction in volumetric video streaming.

All in One: RGB, RGB-D, and RGB-T Salient Object Detection

no code yet • 23 Nov 2023

We propose an innovative model framework that provides a unified solution for the salient object detection task of three types of data (RGB, RGB-D, and RGB-T).