Papers Saliency Ranking
“Saliency Ranking” 태그가 달린 논문 15편 · 필터 해제
A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces
News outlets' competition for attention in news interfaces has highlighted the need for demographically-aware saliency prediction models. Despite recent advancements in saliency detection applied to user interfaces (UI),…
Saliency DetectionSaliency PredictionSaliency RankingCross-Entropy Attacks to Language Models via Rare Event Simulation
Black-box textual adversarial attacks are challenging due to the lack of model information and the discrete, non-differentiable nature of text. Existing methods often lack versatility for attacking different models, suff…
Document ClassificationSaliency RankingSentenceLanguage-Guided Salient Object Ranking
Salient Object Ranking (SOR) aims to study human attention shifts across different objects in the scene. It is a challenging task, as it requires comprehension of the relations among the salient objects in the scene.…
ObjectSaliency RankingVisual ReasoningLeverage Task Context for Object Affordance Ranking
Intelligent agents accomplish different tasks by utilizing various objects based on their affordance, but how to select appropriate objects according to task context is not well-explored. Current studies treat objects wi…
Objectobject-detectionObject DetectionSaliency RankingIntegrating Saliency Ranking and Reinforcement Learning for Enhanced Object Detection
With the ever-growing variety of object detection approaches, this study explores a series of experiments that combine reinforcement learning (RL)-based visual attention methods with saliency ranking techniques to invest…
Deep Reinforcement LearningObjectobject-detectionObject Detection+4SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding
Temporal grounding, also known as video moment retrieval, aims at locating video segments corresponding to a given query sentence. The compositional nature of natural language enables the localization beyond predefined e…
Language ModelingLanguage ModellingLarge Language ModelMoment Retrieval+2Advancing Saliency Ranking with Human Fixations: Dataset Models and Benchmarks
Saliency ranking detection (SRD) has emerged as a challenging task in computer vision aiming not only to identify salient objects within images but also to rank them based on their degree of saliency. Existing SRD da…
Saliency RankingRethinking Object Saliency Ranking: A Novel Whole-flow Processing Paradigm
Existing salient object detection methods are capable of predicting binary maps that highlight visually salient regions. However, these methods are limited in their ability to differentiate the relative importance of mul…
object-detectionObject DetectionSaliency RankingSalient Object DetectionUnderstanding Parameter Saliency via Extreme Value Theory
Deep neural networks are being increasingly implemented throughout society in recent years. It is useful to identify which parameters trigger misclassification in diagnosing undesirable model behaviors. The concept of pa…
Anomaly DetectionSaliency RankingPartitioned Saliency Ranking with Dense Pyramid Transformers
In recent years, saliency ranking has emerged as a challenging task focusing on assessing the degree of saliency at instance-level. Being subjective, even humans struggle to identify the precise order of all salient inst…
Saliency RankingRethinking Video Salient Object Ranking
Salient Object Ranking (SOR) involves ranking the degree of saliency of multiple salient objects in an input image. Most recently, a method is proposed for ranking salient objects in an input video based on a predicted f…
DiversityObjectRelationSaliency RankingBi-directional Object-context Prioritization Learning for Saliency Ranking
The saliency ranking task is recently proposed to study the visual behavior that humans would typically shift their attention over different objects of a scene based on their degrees of saliency. Existing approaches focu…
ObjectSaliency RankingInstance-Level Relative Saliency Ranking with Graph Reasoning
Conventional salient object detection models cannot differentiate the importance of different salient objects. Recently, two works have been proposed to detect saliency ranking by assigning different degrees of saliency …
Image Retargetingobject-detectionObject DetectionSaliency Ranking+1Inferring Attention Shift Ranks of Objects for Image Saliency
Psychology studies and behavioural observation show that humans shift their attention from one location to another when viewing an image of a complex scene. This is due to the limited capacity of the human visual system …
Saliency RankingAttSum: Joint Learning of Focusing and Summarization with Neural Attention
Query relevance ranking and sentence saliency ranking are the two main tasks in extractive query-focused summarization. Previous supervised summarization systems often perform the two tasks in isolation. However, since r…
Query-focused SummarizationSaliency RankingSentence