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Learning Implicit Class Knowledge for RGB-D Co-Salient Object Detection With Transformers

https://doi.org/10.1109/tip.2022.3185550

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-58452-8_13openalex-snapshot

End-to-End Object Detection with Transformers

inferredcites →https://doi.org/10.1007/978-3-030-58610-2_27openalex-snapshot

Gradient-Induced Co-Saliency Detection

inferredcites →https://doi.org/10.1007/978-3-319-10578-9_7openalex-snapshot

RGBD Salient Object Detection: A Benchmark and Algorithms

inferredcites →https://doi.org/10.1007/978-3-319-10584-0_23openalex-snapshot

Learning Rich Features from RGB-D Images for Object Detection and Segmentation

inferredcites →https://doi.org/10.1007/978-3-319-16817-3_17openalex-snapshot

On Multiple Image Group Cosegmentation

inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot

U-Net: Convolutional Networks for Biomedical Image Segmentation

inferredcites →https://doi.org/10.1007/978-3-319-46478-7_12openalex-snapshot

CATS: Co-saliency Activated Tracklet Selection for Video Co-localization

inferredcites →https://doi.org/10.1007/s11042-017-5576-yopenalex-snapshot

RGBD co-saliency detection via multiple kernel boosting and fusion

inferredcites →https://doi.org/10.1007/s11263-016-0907-4openalex-snapshot

Detection of Co-salient Objects by Looking Deep and Wide

inferredcites →https://doi.org/10.1007/s11432-021-3445-yopenalex-snapshot

TransCrowd: weakly-supervised crowd counting with transformers

inferredcites →https://doi.org/10.1007/s41095-020-0199-zopenalex-snapshot

RGB-D salient object detection: A survey

inferredcites →https://doi.org/10.1007/s41095-022-0268-6openalex-snapshot

Specificity-preserving RGB-D Saliency Detection

inferredcites →https://doi.org/10.1016/j.cviu.2018.04.007openalex-snapshot

RGB-D-based human motion recognition with deep learning: A survey

inferredcites →https://doi.org/10.1016/j.image.2015.07.002openalex-snapshot

Depth-aware salient object detection using anisotropic center-surround difference

inferredcites →https://doi.org/10.1016/j.neucom.2016.10.073openalex-snapshot

Online object tracking based on CNN with spatial-temporal saliency guided sampling

inferredcites →https://doi.org/10.1016/j.neucom.2019.09.010openalex-snapshot

Co-saliency detection via integration of multi-layer convolutional features and inter-image propagation

inferredcites →https://doi.org/10.1023/a:1011139631724openalex-snapshot

Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope

inferredcites →https://doi.org/10.1088/1742-5468/ac9830openalex-snapshot

ConViT: improving vision transformers with soft convolutional inductive biases*

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/cvpr.2011.5995415openalex-snapshot

From co-saliency to co-segmentation: An efficient and fully unsupervised energy minimization model

inferredcites →https://doi.org/10.1109/cvpr.2012.6247708openalex-snapshot

Leveraging stereopsis for saliency analysis

inferredcites →https://doi.org/10.1109/cvpr.2014.359openalex-snapshot

Saliency Detection on Light Field

inferredcites →https://doi.org/10.1109/cvpr.2015.7298606openalex-snapshot

Saliency detection via Cellular Automata

inferredcites →https://doi.org/10.1109/cvpr.2015.7298887openalex-snapshot

Robust saliency detection via regularized random walks ranking

inferredcites →https://doi.org/10.1109/cvpr.2015.7298918openalex-snapshot

Co-saliency detection via looking deep and wide

inferredcites →https://doi.org/10.1109/cvpr.2015.7299072openalex-snapshot

Object-based RGBD image co-segmentation with mutex constraint

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

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot

Feature Pyramid Networks for Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.535openalex-snapshot

Exploiting Saliency for Object Segmentation from Image Level Labels

inferredcites →https://doi.org/10.1109/cvpr.2018.00813openalex-snapshot

Non-local Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2019.00321openalex-snapshot

Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00285openalex-snapshot

Camouflaged Object Detection

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00299openalex-snapshot

Taking a Deeper Look at Co-Salient Object Detection

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00907openalex-snapshot

Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01377openalex-snapshot

Learning Selective Self-Mutual Attention for RGB-D Saliency Detection

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00681openalex-snapshot

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00803openalex-snapshot

Transformer Tracking

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01211openalex-snapshot

Group Collaborative Learning for Co-Salient Object Detection

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01625openalex-snapshot

Bottleneck Transformers for Visual Recognition

inferredcites →https://doi.org/10.1109/icassp.2016.7471952openalex-snapshot

Depth-aware saliency detection using discriminative saliency fusion

inferredcites →https://doi.org/10.1109/iccv.2015.75openalex-snapshot

A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection

inferredcites →https://doi.org/10.1109/iccv.2017.487openalex-snapshot

Structure-Measure: A New Way to Evaluate Foreground Maps

inferredcites →https://doi.org/10.1109/iccv.2017.97openalex-snapshot

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

inferredcites →https://doi.org/10.1109/iccv.2019.00735openalex-snapshot

Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection

inferredcites →https://doi.org/10.1109/iccv48922.2021.00009openalex-snapshot

CvT: Introducing Convolutions to Vision Transformers

inferredcites →https://doi.org/10.1109/iccv48922.2021.00010openalex-snapshot

Going deeper with Image Transformers

inferredcites →https://doi.org/10.1109/iccv48922.2021.00041openalex-snapshot

CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

inferredcites →https://doi.org/10.1109/iccv48922.2021.00043openalex-snapshot

Scalable Vision Transformers with Hierarchical Pooling

inferredcites →https://doi.org/10.1109/iccv48922.2021.00060openalex-snapshot

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

inferredcites →https://doi.org/10.1109/iccv48922.2021.00061openalex-snapshot

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

inferredcites →https://doi.org/10.1109/iccv48922.2021.00062openalex-snapshot

Incorporating Convolution Designs into Visual Transformers

inferredcites →https://doi.org/10.1109/iccv48922.2021.00413openalex-snapshot

Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection

inferredcites →https://doi.org/10.1109/iccv48922.2021.00430openalex-snapshot

RGB-D Saliency Detection via Cascaded Mutual Information Minimization

inferredcites →https://doi.org/10.1109/iccv48922.2021.00468openalex-snapshot

Visual Saliency Transformer

inferredcites →https://doi.org/10.1109/iccv48922.2021.00675openalex-snapshot

Multiscale Vision Transformers

inferredcites →https://doi.org/10.1109/iccv48922.2021.00676openalex-snapshot

ViViT: A Video Vision Transformer

inferredcites →https://doi.org/10.1109/iccv48922.2021.00986openalex-snapshot

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

inferredcites →https://doi.org/10.1109/iccv48922.2021.01172openalex-snapshot

Rethinking Spatial Dimensions of Vision Transformers

inferredcites →https://doi.org/10.1109/iccv48922.2021.01196openalex-snapshot

Vision Transformers for Dense Prediction

inferredcites →https://doi.org/10.1109/iccv48922.2021.01332openalex-snapshot

VidTr: Video Transformer Without Convolutions

inferredcites →https://doi.org/10.1109/iccvw.2017.355openalex-snapshot

A Three-Pathway Psychobiological Framework of Salient Object Detection Using Stereoscopic Technology

inferredcites →https://doi.org/10.1109/iccvw54120.2021.00355openalex-snapshot

Video Transformer Network

inferredcites →https://doi.org/10.1109/icme.2018.8486603openalex-snapshot

Co-Saliency Detection via Hierarchical Consistency Measure

inferredcites →https://doi.org/10.1109/icra.2011.5980382openalex-snapshot

A large-scale hierarchical multi-view RGB-D object dataset

inferredcites →https://doi.org/10.1109/iros55552.2023.10342025openalex-snapshot

LocalViT: Analyzing Locality in Vision Transformers

inferredcites →https://doi.org/10.1109/lsp.2016.2557347openalex-snapshot

Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion

inferredcites →https://doi.org/10.1109/lsp.2016.2615293openalex-snapshot

RGBD Co-saliency Detection via Bagging-Based Clustering

inferredcites →https://doi.org/10.1109/tcsvt.2017.2701279openalex-snapshot

Video Co-Saliency Guided Co-Segmentation

inferredcites →https://doi.org/10.1109/tcsvt.2020.2992054openalex-snapshot

Co-Saliency Detection With Co-Attention Fully Convolutional Network

inferredcites →https://doi.org/10.1109/tcsvt.2024.3469286openalex-snapshot

Generative Transformer for Accurate and Reliable Salient Object Detection

inferredcites →https://doi.org/10.1109/tcyb.2017.2771488openalex-snapshot

An Iterative Co-Saliency Framework for RGBD Images

inferredcites →https://doi.org/10.1109/tgrs.2019.2925070openalex-snapshot

Nested Network With Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images

inferredcites →https://doi.org/10.1109/tgrs.2021.3123984openalex-snapshot

RRNet: Relational Reasoning Network With Parallel Multiscale Attention for Salient Object Detection in Optical Remote Sensing Images

inferredcites →https://doi.org/10.1109/tip.2011.2156803openalex-snapshot

A Co-Saliency Model of Image Pairs

inferredcites →https://doi.org/10.1109/tip.2013.2260166openalex-snapshot

Cluster-Based Co-Saliency Detection

inferredcites →https://doi.org/10.1109/tip.2015.2438546openalex-snapshot

Salient Region Detection via Integrating Diffusion-Based Compactness and Local Contrast

inferredcites →https://doi.org/10.1109/tip.2015.2438550openalex-snapshot

Robust Video Object Cosegmentation

inferredcites →https://doi.org/10.1109/tip.2017.2694222openalex-snapshot

Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering

inferredcites →https://doi.org/10.1109/tip.2017.2763819openalex-snapshot

Co-Saliency Detection for RGBD Images Based on Multi-Constraint Feature Matching and Cross Label Propagation

inferredcites →https://doi.org/10.1109/tip.2018.2859752openalex-snapshot

Co-Salient Object Detection Based on Deep Saliency Networks and Seed Propagation Over an Integrated Graph

inferredcites →https://doi.org/10.1109/tip.2019.2909649openalex-snapshot

Deep Group-Wise Fully Convolutional Network for Co-Saliency Detection With Graph Propagation

inferredcites →https://doi.org/10.1109/tip.2020.2988568openalex-snapshot

PiCANet: Pixel-Wise Contextual Attention Learning for Accurate Saliency Detection

inferredcites →https://doi.org/10.1109/tip.2020.3028289openalex-snapshot

DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection

inferredcites →https://doi.org/10.1109/tip.2020.3042084openalex-snapshot

Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

inferredcites →https://doi.org/10.1109/tmm.2011.2162399openalex-snapshot

Object Retrieval Using Visual Query Context

inferredcites →https://doi.org/10.1109/tmm.2018.2884481openalex-snapshot

HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images

inferredcites →https://doi.org/10.1109/tnnls.2020.2967471openalex-snapshot

Robust Deep Co-Saliency Detection With Group Semantic and Pyramid Attention

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.2016.2567393openalex-snapshot

Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework

inferredcites →https://doi.org/10.1109/tpami.2017.2723009openalex-snapshot

Places: A 10 Million Image Database for Scene Recognition

inferredcites →https://doi.org/10.1109/tpami.2021.3051099openalex-snapshot

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

inferredcites →https://doi.org/10.1109/tpami.2021.3060412openalex-snapshot

Re-thinking Co-Salient Object Detection

inferredcites →https://doi.org/10.1109/tpami.2021.3115815openalex-snapshot

Segmenting Objects From Relational Visual Data

inferredcites →https://doi.org/10.1109/tpami.2021.3122139openalex-snapshot

Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection

inferredcites →https://doi.org/10.1145/2632856.2632866openalex-snapshot

Depth Enhanced Saliency Detection Method

inferredcites →https://doi.org/10.1145/3474085.3475364openalex-snapshot

Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection

inferredcites →https://doi.org/10.1609/aaai.v33i01.33018917openalex-snapshot

Robust Deep Co-Saliency Detection with Group Semantic

inferredcites →https://doi.org/10.1609/aaai.v36i1.19967openalex-snapshot

TransFG: A Transformer Architecture for Fine-Grained Recognition

inferredcites →https://doi.org/10.24963/ijcai.2017/424openalex-snapshot

Group-wise Deep Co-saliency Detection

inferredcites →https://doi.org/10.24963/ijcai.2018/97openalex-snapshot

Enhanced-alignment Measure for Binary Foreground Map Evaluation

inferredcites →https://doi.org/10.24963/ijcai.2019/115openalex-snapshot

Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network

inferredcites →https://doi.org/10.48550/arxiv.1503.02531openalex-snapshot

Distilling the Knowledge in a Neural Network

inferredcites →https://doi.org/10.48550/arxiv.1606.08415openalex-snapshot

Gaussian Error Linear Units (GELUs)

inferredcites →https://doi.org/10.48550/arxiv.2012.15460openalex-snapshot

TransTrack: Multiple Object Tracking with Transformer

inferredcites →https://doi.org/10.48550/arxiv.2103.11886openalex-snapshot

DeepViT: Towards Deeper Vision Transformer

inferredcites →https://doi.org/10.48550/arxiv.2104.13497openalex-snapshot

ConTNet: Why not use convolution and transformer at the same time?

inferredcites →https://doi.org/10.48550/arxiv.2104.14729openalex-snapshot

CoSformer: Detecting Co-Salient Object with Transformers

inferredcites →https://doi.org/10.48550/arxiv.2201.09139openalex-snapshot

Dual-Flattening Transformers through Decomposed Row and Column Queries for Semantic Segmentation

What points at this work

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

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CSNet: a ConvNeXt-based Siamese network for RGB-D salient object detection

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LCH: fast RGB-D salient object detection on CPU via lightweight convolutional network with hybrid knowledge distillation

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Lightweight hybrid attention RGB-D networks for accurate camouflaged object detection

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Automatic curtain wall frame detection based on deep learning and cross-modal feature fusion

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Multi-stream interaction network with cross-modal contrast distillation for co-salient object detection

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Consensus exploration and detail perception for co-salient object detection in optical remote sensing images

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ABENet: Attention-based bidirectional enhancement network for collaborative camouflaged object detection

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Distilled wave-aware network: Efficient RGB-D co-salient object detection via wave learning and three-stage distillation

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MFUR-Net: Multimodal feature fusion and unimodal feature refinement for RGB-D salient object detection

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ProxyMatting: Transformer-based image matting via region proxy

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Hierarchical Two-stage modal fusion for Triple-modality salient object detection

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TIVE: A toolbox for identifying video instance segmentation errors

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A systematic review of image-level camouflaged object detection with deep learning

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A three-stage model for camouflaged object detection

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CCINet: A cascaded consensus interaction network for co-saliency object detection

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Artificial Olfactory Signal Modulation for Detection in Changing Environments

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SSTNet: Saliency sparse transformers network with tokenized dilation for salient object detection

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A multiple‐attention refinement network for RGB‐D salient object detection

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RGB-D Salient Object Detection Based on Cross-Modal and Cross-Level Feature Fusion

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Comprehensive Feature Processing Based on Attention Mechanism for Co-Salient Object Detection

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Object-Aware Calibrated Depth-Guided Transformer for RGB-D Co-Salient Object Detection

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InfraRedSeg: Multimodal Point Prompting and Multi-Round Refinement for Unmanned Aerial Vehicle (UAV)-Based Infrared Target Segmentation

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Adaptive Dual-Stream Sparse Transformer Network for Salient Object Detection in Optical Remote Sensing Images

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SACNet: Saliency-Aided Aggregation Consensus Network for RGB-D Co-Salient Object Detection

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Location, Neighborhood, and Semantic Guidance Network for RGB-D Co-Salient Object Detection

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Efficient RGB-D Co-Salient Object Detection via Modality-Aware Prompting

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Multiple Graph Affinity Interactive Network and a Variable Illumination Dataset for RGBT Image Salient Object Detection

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Learning Adaptive Fusion Bank for Multi-Modal Salient Object Detection

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A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene Classification

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Single-Group Generalized RGB and RGB-D Co-Salient Object Detection

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TRNet: Two-Tier Recursion Network for Co-Salient Object Detection

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Adaptive Spatial Tokenization Transformer for Salient Object Detection in Optical Remote Sensing Images

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LSNet: Lightweight Spatial Boosting Network for Detecting Salient Objects in RGB-Thermal Images

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Position-Aware Relation Learning for RGB-Thermal Salient Object Detection

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Distractor-Aware Event-Based Tracking

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Disentangled Cross-Modal Transformer for RGB-D Salient Object Detection and Beyond

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UVaT: Uncertainty Incorporated View-Aware Transformer for Robust Multi-View Classification

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Lightweight RGB-D Salient Object Detection From a Speed-Accuracy Tradeoff Perspective

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Specificity-Guided Cross-Modal Feature Reconstruction for RGB-Infrared Object Detection

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Learning Semantic-Level Multi-Modal Alignment Transformer for RGB-D Co-Salient Object Detection

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CADC++: Advanced Consensus-Aware Dynamic Convolution for Co-Salient Object Detection

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VSCode-v2: Dynamic Prompt Learning for General Visual Salient and Camouflaged Object Detection With Two-Stage Optimization

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Hybrid Knowledge Distillation Network for RGB-D Co-Salient Object Detection

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Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion

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Guided Depth Map Super-Resolution: A Survey

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Link prediction of heterogeneous complex networks based on an improved embedding learning algorithm

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Absolute and Relative Depth-Induced Network for RGB-D Salient Object Detection

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SLMSF-Net: A Semantic Localization and Multi-Scale Fusion Network for RGB-D Salient Object Detection

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