Papers Saliency Detection
“Saliency Detection” 태그가 달린 논문 375편 · 필터 해제
MIMONet: Multi-scale Input and Multi-scale Output Network for Salient Object Detection
The existing methods for saliency detection task focus on the application of multi-level features, aiming to take advantage of the respective strengths of high- and low-level features. However, because the inputs of thes…
Salient Object DetectionSaliency DetectionLearning visual representations for compositional analysis of artworks and photographs
Composition, the deliberate arrangement of visual elements, is central to how meaning, emotion, and aesthetic quality are conveyed in artwork, yet it remains among the least formalized dimensions of visual understanding.…
Domain GeneralizationSaliency DetectionImage RetrievalDual-Signal Adaptive KV-Cache Optimization for Long-Form Video Understanding in Vision-Language Models
Vision-Language Models (VLMs) face a critical memory bottleneck when processing long-form video content due to the linear growth of the Key-Value (KV) cache with sequence length. Existing solutions predominantly employ r…
Saliency DetectionSOSControl: Enhancing Human Motion Generation through Saliency-Aware Symbolic Orientation and Timing Control
Traditional text-to-motion frameworks often lack precise control, and existing approaches based on joint keyframe locations provide only positional guidance, making it challenging and unintuitive to specify body part ori…
Saliency DetectionData AugmentationLearning Temporal Saliency for Time Series Forecasting with Cross-Scale Attention
Explainability in time series forecasting is essential for improving model transparency and supporting informed decision-making. In this work, we present CrossScaleNet, an innovative architecture that combines a patch-ba…
Time Series ForecastingFeature ImportanceSaliency DetectionA Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision--Revised
Though deep learning techniques have made great progress in salient object detection recently, the predicted saliency maps still suffer from incomplete predictions due to the internal complexity of objects and inaccurate…
Salient Object DetectionSaliency DetectionEdge DetectionSphere-GAN: a GAN-based Approach for Saliency Estimation in 360° Videos
The recent success of immersive applications is pushing the research community to define new approaches to process 360° images and videos and optimize their transmission. Among these, saliency estimation provides a power…
Saliency DetectionTowards Open World Detection: A Survey
For decades, Computer Vision has aimed at enabling machines to perceive the external world. Initial limitations led to the development of highly specialized niches. As success in each task accrued and research progressed…
Open World Object DetectionSaliency DetectionWXSOD: A Benchmark for Robust Salient Object Detection in Adverse Weather Conditions
Salient object detection (SOD) in complex environments remains a challenging research topic. Most existing methods perform well in natural scenes with negligible noise, and tend to leverage multi-modal information (e.g.,…
Salient Object DetectionSaliency DetectionSAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks
Recent studies have highlighted the potential of adapting the Segment Anything Model (SAM) for various downstream tasks. However, constructing a more powerful and generalizable encoder to further enhance performance rema…
Dichotomous Image SegmentationSaliency DetectionObject DetectionEnsemble Foreground Management for Unsupervised Object Discovery
Unsupervised object discovery (UOD) aims to detect and segment objects in 2D images without handcrafted annotations. Recent progress in self-supervised representation learning has led to some success in UOD algorithms. H…
Representation LearningInstance SegmentationSaliency DetectionFeature Hallucination for Self-supervised Action Recognition
Understanding human actions in videos requires more than raw pixel analysis; it relies on high-level semantic reasoning and effective integration of multimodal features. We propose a deep translational action recognition…
Action RecognitionHallucinationobject-detectionObject Detection+3Low-Rate Semantic Communication with Codebook-based Conditional Generative Models
Generative semantic communication models are reshaping semantic communication frameworks by moving beyond pixel-wise optimization to align with human perception. However, many existing approaches prioritize image-level p…
Saliency DetectionSemantic CommunicationCollaborative Temporal Consistency Learning for Point-supervised Natural Language Video Localization
Natural language video localization (NLVL) is a crucial task in video understanding that aims to localize the target moment in videos specified by a given language description. Recently, a point-supervised paradigm has b…
Saliency DetectionSentenceVideo UnderstandingA 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 RankingCopy-Move Detection in Optical Microscopy: A Segmentation Network and A Dataset
With increasing revelations of academic fraud, detecting forged experimental images in the biomedical field has become a public concern. The challenge lies in the fact that copy-move targets can include background tissue…
object-detectionObject DetectionSaliency DetectionUnlocking Comics: The AI4VA Dataset for Visual Understanding
In the evolving landscape of deep learning, there is a pressing need for more comprehensive datasets capable of training models across multiple modalities. Concurrently, in digital humanities, there is a growing demand t…
Depth EstimationSaliency DetectionSemantic SegmentationAGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety
Road ponding, a prevalent traffic hazard, poses a serious threat to road safety by causing vehicles to lose control and leading to accidents ranging from minor fender benders to severe collisions. Existing technologies s…
Edge-computingSaliency DetectionVISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models
The recent developments in deep learning led to the integration of natural language processing (NLP) with computer vision, resulting in powerful integrated Vision and Language Models (VLMs). Despite their remarkable capa…
Saliency DetectionAIM 2024 Challenge on Video Saliency Prediction: Methods and Results
This paper reviews the Challenge on Video Saliency Prediction at AIM 2024. The goal of the participants was to develop a method for predicting accurate saliency maps for the provided set of video sequences. Saliency maps…
Saliency DetectionSaliency PredictionVideo CompressionVideo Saliency Detection+1