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Revisiting Video Saliency Prediction in the Deep Learning Era
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RGBT Salient Object Detection: Benchmark and A Novel Cooperative Ranking Approach
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Salient Object Detection by Spatiotemporal and Semantic Features in Real-Time Video Processing Systems
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Uncertainty Inspired RGB-D Saliency Detection
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Going From RGB to RGBD Saliency: A Depth-Guided Transformation Model
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Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing
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Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
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Bifurcated Backbone Strategy for RGB-D Salient Object Detection
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BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network
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Video Salient Object Detection via Robust Seeds Extraction and Multi-Graphs Manifold Propagation
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Learning Selective Self-Mutual Attention for RGB-D Saliency Detection
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A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection
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Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation
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Select, Supplement and Focus for RGB-D Saliency Detection
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Is Depth Really Necessary for Salient Object Detection?
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Multi-interactive Encoder-decoder Network for RGBT Salient Object Detection
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Bilateral Attention Network for RGB-D Salient Object Detection
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JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection
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UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
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Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation
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Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection
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Siamese Box Adaptive Network for Visual Tracking
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Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection
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RGB-T Salient Object Detection via Fusing Multi-Level CNN Features
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Deep Learning for Visual Tracking: A Comprehensive Survey
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Siam R-CNN: Visual Tracking by Re-Detection
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SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking
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Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection
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Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
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Salient object detection for RGB-D image by single stream recurrent convolution neural network
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Deepside: A general deep framework for salient object detection
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3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation
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EGNet: Edge Guidance Network for Salient Object Detection
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Deep Light-field-driven Saliency Detection from a Single View
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Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
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RFBNet: Deep Multimodal Networks with Residual Fusion Blocks for RGB-D Semantic Segmentation
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Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection
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Shifting More Attention to Video Salient Object Detection
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Attentive Feedback Network for Boundary-Aware Salient Object Detection
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An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection
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Learning Unsupervised Video Object Segmentation Through Visual Attention
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Salient Object Detection With Pyramid Attention and Salient Edges
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RGB-T Image Saliency Detection via Collaborative Graph Learning
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Video Saliency Detection via Graph Clustering With Motion Energy and Spatiotemporal Objectness
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Video Saliency Detection via Sparsity-Based Reconstruction and Propagation
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A Simple Pooling-Based Design for Real-Time Salient Object Detection
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Salient Object Detection in the Deep Learning Era: An In-Depth Survey
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Res2Net: A New Multi-Scale Backbone Architecture
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Multi-modal fusion network with multi-scale multi-path and cross-modal interactions for RGB-D salient object detection
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Three-Stream Attention-Aware Network for RGB-D Salient Object Detection
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Adaptive Fusion for RGB-D Salient Object Detection
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Fast Online Object Tracking and Segmentation: A Unifying Approach
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CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion
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RGBD Salient Object Detection using Spatially Coherent Deep Learning Framework
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Deep Affinity Network for Multiple Object Tracking
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Dual Attention Network for Scene Segmentation
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Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection
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Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks
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StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction
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CBAM: Convolutional Block Attention Module
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Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection
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Flow Guided Recurrent Neural Encoder for Video Salient Object Detection
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Salient Object Detection Driven by Fixation Prediction
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Fast Video Object Segmentation by Reference-Guided Mask Propagation
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Progressive Attention Guided Recurrent Network for Salient Object Detection
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Fast and Accurate Online Video Object Segmentation via Tracking Parts
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Enhanced-alignment Measure for Binary Foreground Map Evaluation
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PDNet: Prior-Model Guided Depth-Enhanced Network for Salient Object Detection
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Depth-aware CNN for RGB-D Segmentation
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Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground
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Stereoscopic saliency model using contrast and depth-guided-background prior
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Saliency Detection for Unconstrained Videos Using Superpixel-Level Graph and Spatiotemporal Propagation
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Non-local Neural Networks
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RDFNet: RGB-D Multi-level Residual Feature Fusion for Indoor Semantic Segmentation
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Deep Cropping via Attention Box Prediction and Aesthetics Assessment
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3D Graph Neural Networks for RGBD Semantic Segmentation
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Cascaded Feature Network for Semantic Segmentation of RGB-D Images
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Squeeze-and-Excitation Networks
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Learning Uncertain Convolutional Features for Accurate Saliency Detection
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Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection
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Structure-Measure: A New Way to Evaluate Foreground Maps
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Saliency Detection on Light Field
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Learning to Detect Salient Objects with Image-Level Supervision
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Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation
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Depth-Aware Salient Object Detection and Segmentation via Multiscale Discriminative Saliency Fusion and Bootstrap Learning
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Learning RGB-D Salient Object Detection Using Background Enclosure, Depth Contrast, and Top-Down Features
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Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework
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Residual Attention Network for Image Classification
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Salient Object Segmentation via Effective Integration of Saliency and Objectness
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RGB-D Salient Object Detection via Minimum Barrier Distance Transform and Saliency Fusion
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End-to-End Learning of Geometry and Context for Deep Stereo Regression
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Video Salient Object Detection via Fully Convolutional Networks
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FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
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Pyramid Scene Parsing Network
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Semantic Scene Completion from a Single Depth Image
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FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture
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Creating a Color Map to be used to Convert a Gray Image to Color Image
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Deeply Supervised Salient Object Detection with Short Connections
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A Benchmark Dataset and Saliency-Guided Stacked Autoencoders for Video-Based Salient Object Detection
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Correspondence Driven Saliency Transfer
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Image Co-segmentation via Saliency Co-fusion
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Densely Connected Convolutional Networks
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Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
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RGBD Salient Object Detection via Deep Fusion
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Salient object detection for RGB-D image via saliency evolution
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Fully-Convolutional Siamese Networks for Object Tracking
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Local Background Enclosure for RGB-D Salient Object Detection
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DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection
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Efficient Deep Learning for Stereo Matching
110
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
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A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation
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Detection of Co-salient Objects by Looking Deep and Wide
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Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion
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LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling
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Learning to Refine Object Segments
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Deep Residual Learning for Image Recognition
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DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
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Consistent Video Saliency Using Local Gradient Flow Optimization and Global Refinement
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U-Net: Convolutional Networks for Biomedical Image Segmentation
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Spatiotemporal Saliency Detection for Video Sequences Based on Random Walk With Restart
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Learning to compare image patches via convolutional neural networks
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Database Saliency for Fast Image Retrieval
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Salient Object Detection: A Benchmark
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Salient object detection: A survey
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Fully convolutional networks for semantic segmentation
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Depth saliency based on anisotropic center-surround difference
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Going deeper with convolutions
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Computing the stereo matching cost with a convolutional neural network
129
RGBD Salient Object Detection: A Benchmark and Algorithms
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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Learning Rich Features from RGB-D Images for Object Detection and Segmentation
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Depth Enhanced Saliency Detection Method
133
Caffe: Convolutional Architecture for Fast Feature Embedding
134
DeepFace: Closing the Gap to Human-Level Performance in Face Verification
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A Model of Visual Attention for Natural Image Retrieval
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Indoor Semantic Segmentation using depth information
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Unsupervised Salient Object Segmentation Based on Kernel Density Estimation and Two-Phase Graph Cut
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Leveraging stereopsis for saliency analysis
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Saliency filters: Contrast based filtering for salient region detection
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Global contrast based salient region detection
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Importance filtering for image retargeting
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Context-aware saliency detection
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Sketch2Photo: internet image montage
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Frequency-tuned salient region detection
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Attention Based Auto Image Cropping
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Unsupervised extraction of visual attention objects in color images
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A generic framework of user attention model and its application in video summarization
148
Learning a similarity metric discriminatively, with application to face verification
149
Is bottom-up attention useful for object recognition?
150
Signature Verification Using A "Siamese" Time Delay Neural Network
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Siamese Neural Networks for One-Shot Image Recognition
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A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression
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A framework for visual saliency detection with applications to image thumbnailing
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Ieee Transactions on Pattern Analysis and Machine Intelligence Segmentation of Moving Objects by Long Term Video Analysis