Saliency Detection
7개 벤치마크 · 논문 375편 · 이 태스크의 논문 보기 →
Benchmarks
DUT-OMRON
HKU-IS
CAT2000
DUTS-test
ECSSD
PASCAL Context
PASCAL-S
Most implemented
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
Pyramid Feature Attention Network for Saliency detection
Sanity Checks for Saliency Maps
P2T: Pyramid Pooling Transformer for Scene Understanding
ICNet: Intra-saliency Correlation Network for Co-Saliency Detection
Uncertainty Inspired RGB-D Saliency Detection
Papers
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 Detection