CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation
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Abstract (arXiv)
We propose a novel approach for RGB-D salient instance segmentation using a dual-branch cross-modal feature calibration architecture called CalibNet. Our method simultaneously calibrates depth and RGB features in the kernel and mask branches to generate instance-aware kernels and mask features. CalibNet consists of three simple modules, a dynamic interactive kernel (DIK) and a weight-sharing fusion (WSF), which work together to generate effective instance-aware kernels and integrate cross-modal features. To improve the quality of depth features, we incorporate a depth similarity assessment (DSA) module prior to DIK and WSF. In addition, we further contribute a new DSIS dataset, which contains 1,940 images with elaborate instance-level annotations. Extensive experiments on three challenging benchmarks show that CalibNet yields a promising result, i.e., 58.0% AP with 320*480 input size on the COME15K-N test set, which significantly surpasses the alternative frameworks. Our code and dataset are available at: https://github.com/PJLallen/CalibNet.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 58 of its 90 references that are in the map. First posted on arXiv 16 Jul 2023.
Builds on
58 of 90 references.
References · 58
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
- 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
- 2020End-to-End Object Detection with Transformerscited by 7,384
- 2017Mask R-CNNcited by 7,259
- 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,845
- 2020Deformable DETR: Deformable Transformers for End-to-End Object Detectioncited by 3,410
- 2018CBAM: Convolutional Block Attention Modulecited by 2,463
- 2021Masked-attention Mask Transformer for Universal Image Segmentationcited by 2,338
- 2017Non-local Neural Networkscited by 2,290
- 2016V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentationcited by 2,284
- 2021PVT v2: Improved Baselines with Pyramid Vision Transformercited by 749
- 2019Hybrid Task Cascade for Instance Segmentationcited by 479
38 more
- 2019YOLACT: Real-time Instance Segmentationcited by 441
- 2019Cascade R-CNN: High Quality Object Detection and Instance Segmentationcited by 428
- 2020Conditional Convolutions for Instance Segmentationcited by 314
- 2018An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solutioncited by 302
- 2019Mask Scoring R-CNNcited by 265
- 2014The Secrets of Salient Object Segmentationcited by 200
- 2019CenterMask : Real-Time Anchor-Free Instance Segmentationcited by 200
- 2021Visual Saliency Transformercited by 175
- 2021Instances as Queriescited by 157
- 2020BlendMask: Top-Down Meets Bottom-Up for Instance Segmentationcited by 144
- 2021MIST: Multiple Instance Self-Training Framework for Video Anomaly Detectioncited by 137
- 2019Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarkscited by 133
- 2014Learning Rich Features from RGB-D Images for Object Detection and Segmentationcited by 124
- 2021P2T: Pyramid Pooling Transformer for Scene Understandingcited by 84
- 2020RGB-D Salient Object Detection: A Surveycited by 73
- 2021Specificity-preserving RGB-D Saliency Detectioncited by 70
- 2020A Single Stream Network for Robust and Real-time RGB-D Salient Object Detectioncited by 67
- 2020Siamese Network for RGB-D Salient Object Detection and Beyondcited by 67
- 2020Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentationcited by 64
- 2021Mask Transfiner for High-Quality Instance Segmentationcited by 64
- 2022Sparse Instance Activation for Real-Time Instance Segmentationcited by 63
- 2020Uncertainty Inspired RGB-D Saliency Detectioncited by 56
- 2020Accurate RGB-D Salient Object Detection via Collaborative Learningcited by 52
- 2021RGB-D Saliency Detection via Cascaded Mutual Information Minimizationcited by 50
- 2020Cross-Modal Weighting Network for RGB-D Salient Object Detectioncited by 47
- 2016RGBD Salient Object Detection via Deep Fusioncited by 46
- 2020DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detectioncited by 45
- 2021SOTR: Segmenting Objects with Transformerscited by 42
- 2021MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Drivingcited by 41
- 2020Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detectioncited by 40
- 2017Instance-Level Salient Object Segmentationcited by 38
- 2020Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detectioncited by 38
- 2022CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient Object Detectioncited by 38
- 2020Bilateral Attention Network for RGB-D Salient Object Detectioncited by 35
- 2021SOLO: A Simple Framework for Instance Segmentationcited by 32
- 2022OSFormer: One-Stage Camouflaged Instance Segmentation with Transformerscited by 30
- 2022Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentationcited by 27
- 2020MobileSal: Extremely Efficient RGB-D Salient Object Detectioncited by 25
50 most cited of 58 All 58 (JSON)
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Citing papers per year: 2024: 4; 2025: 3; 2026: 3.
10 papers.
- 2025USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentationcited by 10
- 2024Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenescited by 7
- 2024Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentationcited by 5
- 2025Synergistic Bleeding Region and Point Detection in Laparoscopic Surgical Videoscited by 3
- 2024YOCO: You Only Calibrate Once for Accurate Extrinsic Parameter in LiDAR-Camera Systemscited by 2
- 2024Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation Systemcited by 1
- 2025GAPNet: A Lightweight Framework for Image and Video Salient Object Detection via Granularity-Aware Paradigmcited by 1
- 2026USIS-PGM: Photometric Gaussian Mixtures for Underwater Salient Instance Segmentationcited by 1
- 2026SPDA-SAM: A Self-prompted Depth-Aware Segment Anything Model for Instance Segmentationcited by 0
- 2026Two-Stream Interactive Joint Learning of Scene Parsing and Geometric Vision Taskscited by 0
- 2026USIS-PGM: Photometric Gaussian Mixtures for Underwater Salient Instance Segmentation14 Mar 2026
- 2026Two-Stream Interactive Joint Learning of Scene Parsing and Geometric Vision Tasks14 Feb 2026
- 2026SPDA-SAM: A Self-prompted Depth-Aware Segment Anything Model for Instance Segmentation6 Feb 2026
- 2025GAPNet: A Lightweight Framework for Image and Video Salient Object Detection via Granularity-Aware Paradigm11 Aug 2025
- 2025USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation24 Jun 2025
- 2025Synergistic Bleeding Region and Point Detection in Laparoscopic Surgical Videos28 Mar 2025
- 2024Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes14 Dec 2024
- 2024Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentation4 Sep 2024
- 2024YOCO: You Only Calibrate Once for Accurate Extrinsic Parameter in LiDAR-Camera Systems25 Jul 2024
- 2024Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System24 Mar 2024