Papers Saliency Prediction
“Saliency Prediction” 태그가 달린 논문 284편 · 필터 해제
SED:Lightweight Saliency prediction for Event-based data via Distillation
Event-based saliency prediction has gained attention recently, as combining event cameras with saliency estimation can act as an upstream stage that naturally improves the efficiency of downstream eventbased perception a…
Knowledge DistillationSaliency PredictionProgrammable Silicon Retina on Pixel Processor Array
Standard dynamic vision sensors approximate retinal processing by detecting temporal contrast changes, offering high speed and high dynamic range. In this work, we explore whether incorporating additional biologically in…
Saliency PredictionTuring Patterns for Multimedia: Reaction-Diffusion Multi-Modal Fusion for Language-Guided Video Moment Retrieval
Video-language models are pivotal for tasks such as moment retrieval and highlight detection, yet they often struggle to capture the dynamic, non-linear interactions between temporal video sequences and textual semantics…
Saliency PredictionHighlight DetectionMoment RetrievalViASNet: A Video Ad Saliency Network for Predicting Dynamic Saliency and Viewer Engagement
The digital media landscape has seen a pervasive shift toward short-form video advertising on TV, social media and e-commerce platforms. The present study focuses on deep saliency prediction for short-form video advertis…
Saliency PredictionExploring deep learning for Event-Based Saliency Prediction with a Transformer-based model
Saliency prediction has been extensively studied in RGB images and videos as a computational model of human visual attention. In contrast, predicting saliency from event-based data remains largely unexplored, despite the…
Saliency PredictionEvent-based visionCROP: Expert-Aligned Image Cropping via Compositional Reasoning and Optimizing Preference
Aesthetic image cropping aims to enhance the aesthetic quality of an image by improving its composition through spatial cropping. Previous methods often rely on saliency prediction or retrieval augmentation, ignoring the…
Multimodal ReasoningSaliency PredictionImage CroppingSIMON: Saliency-aware Integrative Multi-view Object-centric Neural Decoding
Recent EEG-to-image retrieval methods leverage pretrained vision encoders and foveation-inspired priors, but typically assume a fixed, center-focused view. This center bias conflicts with content-driven human attention, …
Saliency PredictionImage RetrievalNTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results
This paper presents an overview of the NTIRE 2026 Challenge on Video Saliency Prediction. The goal of the challenge participants was to develop automatic saliency map prediction methods for the provided video sequences. …
Saliency PredictionViSAGE @ NTIRE 2026 Challenge on Video Saliency Prediction
In this report, we present our champion solution for the NTIRE 2026 Challenge on Video Saliency Prediction held in conjunction with CVPR 2026. To exploit complementary inductive biases for video saliency, we propose Vide…
Saliency PredictionRevisiting Salient Object Detection from an Observer-Centric Perspective
Salient object detection is inherently a subjective problem, as observers with different priors may perceive different objects as salient. However, existing methods predominantly formulate it as an objective prediction t…
Salient Object DetectionSaliency PredictionConvolutions Need Registers Too: HVS-Inspired Dynamic Attention for Video Quality Assessment
No-reference video quality assessment (NR-VQA) estimates perceptual quality without a reference video, which is often challenging. While recent techniques leverage saliency or transformer attention, they merely address g…
Video Quality AssessmentSaliency PredictionSimplifying Knowledge Transfer in Pretrained Models
Pretrained models are ubiquitous in the current deep learning landscape, offering strong results on a broad range of tasks. Recent works have shown that models differing in various design choices exhibit categorically di…
Semantic SegmentationImage ClassificationSaliency PredictionDiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images
Numerous models have been developed for scanpath and saliency prediction, which are typically trained on scanpaths, which model eye movement as a sequence of discrete fixation points connected by saccades, while the rich…
Saliency PredictionAnomalyLMM: Bridging Generative Knowledge and Discriminative Retrieval for Text-Based Person Anomaly Search
With growing public safety demands, text-based person anomaly search has emerged as a critical task, aiming to retrieve individuals with abnormal behaviors via natural language descriptions. Unlike conventional person se…
Saliency PredictionAnomaly DetectionPerson SearchSpherical Vision Transformers for Audio-Visual Saliency Prediction in 360-Degree Videos
Omnidirectional videos (ODVs) are redefining viewer experiences in virtual reality (VR) by offering an unprecedented full field-of-view (FOV). This study extends the domain of saliency prediction to 360-degree environmen…
Saliency PredictionPRE-MAP: Personalized Reinforced Eye-tracking Multimodal LLM for High-Resolution Multi-Attribute Point Prediction
Visual selective attention, driven by individual preferences, regulates human prioritization of visual stimuli by bridging subjective cognitive mechanisms with objective visual elements, thereby steering the semantic int…
Reinforcement LearningSaliency PredictionCASE: Contrastive Activation for Saliency Estimation
Saliency methods are widely used to visualize which input features are deemed relevant to a model's prediction. However, their visual plausibility can obscure critical limitations. In this work, we propose a diagnostic t…
DiagnosticSaliency PredictionCSPENet: Contour-Aware and Saliency Priors Embedding Network for Infrared Small Target Detection
Infrared small target detection (ISTD) plays a critical role in a wide range of civilian and military applications. Existing methods suffer from deficiencies in the localization of dim targets and the perception of conto…
Saliency PredictionModeling Saliency Dataset Bias
Recent advances in image-based saliency prediction are approaching gold standard performance levels on existing benchmarks. Despite this success, we show that predicting fixations across multiple saliency datasets remain…
Saliency PredictionLMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs
The rapid advancement in generative artificial intelligence have enabled the creation of 3D human faces (HFs) for applications including media production, virtual reality, security, healthcare, and game development, etc.…
BenchmarkingFace GenerationQuestion AnsweringSaliency Prediction+1