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Saliency Prediction
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A saliency map is a model that predicts eye fixations on a visual scene. Saliency prediction is informed by the human visual attention mechanism and predicts the possibility of the human eyes to stay in a certain position in the scene.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CSPENet: Contour-Aware and Saliency Priors Embedding Network for Infrared Small Target Detection
Modeling Saliency Dataset Bias
LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs
Text-Audio-Visual-conditioned Diffusion Model for Video Saliency Prediction
DTFSal: Audio-Visual Dynamic Token Fusion for Video Saliency Prediction
Uncertainty Guided Refinement for Fine-Grained Salient Object Detection
Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured Meshes
A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces
EditIQ: Automated Cinematic Editing of Static Wide-Angle Videos via Dialogue Interpretation and Saliency Cues
Minimalistic Video Saliency Prediction via Efficient Decoder & Spatio Temporal Action Cues
Textured Mesh Saliency: Bridging Geometry and Texture for Human Perception in 3D Graphics
Relevance-guided Audio Visual Fusion for Video Saliency Prediction
Correlation of Object Detection Performance with Visual Saliency and Depth Estimation
AIM 2024 Challenge on Video Saliency Prediction: Methods and Results
Data Augmentation via Latent Diffusion for Saliency Prediction
Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidance
CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion
How Does Audio Influence Visual Attention in Omnidirectional Videos? Database and Model
Exploiting Change Blindness for Video Coding: Perspectives from a Less Promising User Study
SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition
SUM: Saliency Unification through Mamba for Visual Attention Modeling
Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified Benchmark
MDS-ViTNet: Improving saliency prediction for Eye-Tracking with Vision Transformer
Enhancing Saliency Prediction in Monitoring Tasks: The Role of Visual Highlights
Bridging the Gap Between Saliency Prediction and Image Quality Assessment
Salient Object Detection From Arbitrary Modalities
Unified Dynamic Scanpath Predictors Outperform Individually Trained Neural Models
Shifting Focus with HCEye: Exploring the Dynamics of Visual Highlighting and Cognitive Load on User Attention and Saliency Prediction
How is Visual Attention Influenced by Text Guidance? Database and Model
Separated Attention: An Improved Cycle GAN Based Under Water Image Enhancement Method
SalFoM: Dynamic Saliency Prediction with Video Foundation Models
GreenSaliency: A Lightweight and Efficient Image Saliency Detection Method
Selective Attention-based Modulation for Continual Learning
DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360° Images
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