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Residual Refinement Network with Attribute Guidance for Precise Saliency Detection

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01240-3_15openalex-snapshot

Reverse Attention for Salient Object Detection

inferredcites →https://doi.org/10.1007/978-3-319-46493-0_50openalex-snapshot

Saliency Detection with Recurrent Fully Convolutional Networks

inferredcites →https://doi.org/10.1007/s11263-014-0733-5openalex-snapshot

The Pascal Visual Object Classes Challenge: A Retrospective

inferredcites →https://doi.org/10.1109/34.730558openalex-snapshot

A model of saliency-based visual attention for rapid scene analysis

inferredcites →https://doi.org/10.1109/cvpr.1994.323798openalex-snapshot

Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

inferredcites →https://doi.org/10.1109/cvpr.2011.5995445openalex-snapshot

Importance filtering for image retargeting

inferredcites →https://doi.org/10.1109/cvpr.2013.271openalex-snapshot

Salient Object Detection: A Discriminative Regional Feature Integration Approach

inferredcites →https://doi.org/10.1109/cvpr.2013.407openalex-snapshot

Saliency Detection via Graph-Based Manifold Ranking

inferredcites →https://doi.org/10.1109/cvpr.2014.118openalex-snapshot

Salient Region Detection via High-Dimensional Color Transform

inferredcites →https://doi.org/10.1109/cvpr.2014.43openalex-snapshot

The Secrets of Salient Object Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2015.7298938openalex-snapshot

Deep networks for saliency detection via local estimation and global search

inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot

Fully convolutional networks for semantic segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.399openalex-snapshot

Recurrent Attentional Networks for Saliency Detection

inferredcites →https://doi.org/10.1109/cvpr.2016.80openalex-snapshot

DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2016.89openalex-snapshot

Training Region-Based Object Detectors with Online Hard Example Mining

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.404openalex-snapshot

Learning to Detect Salient Objects with Image-Level Supervision

inferredcites →https://doi.org/10.1109/cvpr.2017.698openalex-snapshot

Non-local Deep Features for Salient Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2018.00081openalex-snapshot

Progressive Attention Guided Recurrent Network for Salient Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2018.00187openalex-snapshot

A Bi-Directional Message Passing Model for Salient Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2018.00326openalex-snapshot

PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection

inferredcites →https://doi.org/10.1109/cvpr.2018.00330openalex-snapshot

Detect Globally, Refine Locally: A Novel Approach to Saliency Detection

inferredcites →https://doi.org/10.1109/cvpr.2018.00745openalex-snapshot

Squeeze-and-Excitation Networks

inferredcites →https://doi.org/10.1109/cvpr.2019.00154openalex-snapshot

Salient Object Detection With Pyramid Attention and Salient Edges

inferredcites →https://doi.org/10.1109/cvpr.2019.00172openalex-snapshot

Attentive Feedback Network for Boundary-Aware Salient Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2019.00320openalex-snapshot

Pyramid Feature Attention Network for Saliency Detection

inferredcites →https://doi.org/10.1109/cvpr.2019.00403openalex-snapshot

Cascaded Partial Decoder for Fast and Accurate Salient Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2019.00404openalex-snapshot

A Simple Pooling-Based Design for Real-Time Salient Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2019.00766openalex-snapshot

BASNet: Boundary-Aware Salient Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2019.00834openalex-snapshot

A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision

inferredcites →https://doi.org/10.1109/iccv.1995.466933openalex-snapshot

Proceedings of IEEE International Conference on Computer Vision

inferredcites →https://doi.org/10.1109/iccv.2011.6126499openalex-snapshot

Center-surround divergence of feature statistics for salient object detection

inferredcites →https://doi.org/10.1109/iccv.2013.209openalex-snapshot

Saliency Detection via Absorbing Markov Chain

inferredcites →https://doi.org/10.1109/iccv.2017.31openalex-snapshot

Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection

inferredcites →https://doi.org/10.1109/iccv.2017.32openalex-snapshot

Learning Uncertain Convolutional Features for Accurate Saliency Detection

inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot

Focal Loss for Dense Object Detection

inferredcites →https://doi.org/10.1109/iccv.2019.00132openalex-snapshot

Employing Deep Part-Object Relationships for Salient Object Detection

inferredcites →https://doi.org/10.1109/iccv.2019.00390openalex-snapshot

Selectivity or Invariance: Boundary-Aware Salient Object Detection

inferredcites →https://doi.org/10.1109/iccv.2019.00736openalex-snapshot

Stacked Cross Refinement Network for Edge-Aware Salient Object Detection

inferredcites →https://doi.org/10.1109/iccv.2019.00887openalex-snapshot

EGNet: Edge Guidance Network for Salient Object Detection

inferredcites →https://doi.org/10.1109/tip.2012.2199502openalex-snapshot

3-D Object Retrieval and Recognition With Hypergraph Analysis

inferredcites →https://doi.org/10.1109/tip.2012.2216276openalex-snapshot

Bayesian Saliency via Low and Mid Level Cues

inferredcites →https://doi.org/10.1109/tip.2015.2487833openalex-snapshot

Salient Object Detection: A Benchmark

inferredcites →https://doi.org/10.1109/tip.2016.2602079openalex-snapshot

Visual Saliency Detection Based on Multiscale Deep CNN Features

inferredcites →https://doi.org/10.1109/tmm.2017.2693022openalex-snapshot

Salient Object Segmentation via Effective Integration of Saliency and Objectness

inferredcites →https://doi.org/10.1109/tmm.2017.2763780openalex-snapshot

Unsupervised Salient Object Detection via Inferring From Imperfect Saliency Models

inferredcites →https://doi.org/10.1109/tmm.2018.2830098openalex-snapshot

Deep Salient Object Detection With Dense Connections and Distraction Diagnosis

inferredcites →https://doi.org/10.1109/tmm.2018.2845667openalex-snapshot

Salient Object Detection via Fuzzy Theory and Object-Level Enhancement

inferredcites →https://doi.org/10.1109/tmm.2018.2859746openalex-snapshot

Refinet: A Deep Segmentation Assisted Refinement Network for Salient Object Detection

inferredcites →https://doi.org/10.1109/tpami.2010.70openalex-snapshot

Learning to Detect a Salient Object

inferredcites →https://doi.org/10.1109/tpami.2014.2345401openalex-snapshot

Global Contrast Based Salient Region Detection

inferredcites →https://doi.org/10.1109/tpami.2015.2465960openalex-snapshot

Hierarchical Image Saliency Detection on Extended CSSD

inferredcites →https://doi.org/10.1109/tpami.2018.2846598openalex-snapshot

Salient Object Detection with Recurrent Fully Convolutional Networks

inferredcites →https://doi.org/10.1145/2632267openalex-snapshot

A Top-Down Approach for Video Summarization

inferredcites →https://doi.org/10.1145/2996463openalex-snapshot

Fixation Prediction through Multimodal Analysis

inferredcites →https://doi.org/10.1145/3107956openalex-snapshot

Saliency Detection on Light Field

inferredcites →https://doi.org/10.1145/3177745openalex-snapshot

Paying More Attention to Saliency

inferredcites →https://doi.org/10.1609/aaai.v33i01.33019340openalex-snapshot

Deep Embedding Features for Salient Object Detection

inferredcites →https://doi.org/10.5244/c.31.181openalex-snapshot

Residual Conv-Deconv Grid Network for Semantic Segmentation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109011openalex-snapshot

A deep evidence fusion framework for apple leaf disease classification

inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e27398openalex-snapshot

Reviewing 3D convolutional neural network approaches for medical image segmentation

inferred← citeshttps://doi.org/10.1109/tcbb.2022.3229114openalex-snapshot

VMF-SSD: A Novel V-Space Based Multi-Scale Feature Fusion SSD for Apple Leaf Disease Detection

inferred← citeshttps://doi.org/10.1109/tgrs.2025.3540794openalex-snapshot

STRobustNet: Efficient Change Detection via Spatial–Temporal Robust Representations in Remote Sensing

inferred← citeshttps://doi.org/10.1145/3497747openalex-snapshot

Scribble-Supervised Meibomian Glands Segmentation in Infrared Images

inferred← citeshttps://doi.org/10.1145/3566127openalex-snapshot

Mirror Segmentation via Semantic-aware Contextual Contrasted Feature Learning

inferred← citeshttps://doi.org/10.1145/3570507openalex-snapshot

Multi-Guidance CNNs for Salient Object Detection

inferred← citeshttps://doi.org/10.1145/3579998openalex-snapshot

Detection of Moving Object Using Superpixel Fusion Network

inferred← citeshttps://doi.org/10.1145/3674836openalex-snapshot

Gated Multi-Modal Edge Refinement Network for Light Field Salient Object Detection

inferred← citeshttps://doi.org/10.1145/3676967openalex-snapshot

Rethinking Feature Mining for Light Field Salient Object Detection

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