Summary of RGB-T Salient Object Detection, Semantic segmentation and Crowd Counting
Provide a summary of RGB-T-Salient-Object-Detection, Semantic segmentation and Crowd Counting Paper, Code, Dataset, Evaluation and more ).
🏃 keep updating. 🏃2023.2.3 RGBT SOD: Add two papers, RGBT SS: Add two papers. 2022.12.4 Summary of RGBT Crowd Counting could be found here. 2022.10.11 RGBT SOD: Add one TMM paper, RGBT SS: Add one TCSVT paper. 2022.7.27 RGBT SOD: Add one paper, RGBT SS: Add one paper. 2022.6.25 RGBT SOD: Add one TCSVT paper and one TIM paper. 2022.5.28 RGBT SOD: Add one TIP paper.
RGB-T Salient Object Detection RGB-T Semantic segmentation RGB-T Crowd Counting Dataset Evaluation Other Summary Acknowledgement
RGB-T Salient Object Detection
No. Pub. Title Links
01
ISCID Learning Multiscale Deep Features and SVM Regressors for Adaptive RGB-T Saliency Detection
Paper /Code
No. Pub. Title Links
01
IGTA RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and a Novel Approach
Paper /Code
No. Pub. Title Links
01
MIPR M3S-NIR: Multi-Modal Multi-Scale Noise-Insensitive Ranking for RGB-T Saliency Detection
Paper /Code
02
TMM RGB-T Image Saliency Detection via Collaborative Graph Learning
Paper /Code
03
TCSVT RGBT Salient Object Detection: Benchmark and A Novel Cooperative Ranking Approach
Paper /Code
No. Pub. Title Links
01
TIP RGB-T Salient Object Detection via Fusing Multi-Level CNN Features
Paper /Code
02
TCSVT Revisiting Feature Fusion for RGB-T Salient Object Detection
Paper /Code
No. Pub. Title Links
01
TCSVT ECFFNet: Effective and Consistent Feature Fusion Network for RGB-T Salient Object Detection
Paper /Results(pin:tx48)
02
TCSVT Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection
Paper /Code
03
TCSVT CGFNet: Cross-Guided Fusion Network for RGB-T Salient Object Detection
Paper /Code
04
TCSVT Efficient Context-Guided Stacked Refinement Network for RGB-T Salient Object Detection
Paper /Code
05
SPL TSFNet: Two-Stage Fusion Network for RGB-T Salient Object Detection
Paper /Code
06
TETCI APNet: Adversarial Learning Assistance and Perceived Importance Fusion Network for All-Day RGB-T Salient Object Detection
Paper /Code
07
TIP Multi-Interactive Dual-Decoder for RGB-Thermal Salient Object Detection
Paper /Code
08
TCSVT SwinNet: Swin Transformer drives edge-aware RGB-D and RGB-T salient object detection
Paper /Code
09
TCSVT Multi-graph Fusion and Learning for RGBT Image Saliency Detection
Paper /Code
10
CYBER Salient Target Detection in RGB-T Image based on Multi-level Semantic Information
Paper /Code
No. Pub. Title Links
01
Applied Intelligence RGB-T salient object detection via CNN feature and result saliency map fusion
Paper /Code
02
Neurocomputing Multi-modal Interactive Attention and Dual Progressive Decoding Network for RGB-D/T Salient Object Detection
Paper /Code
03
TCSVT CGMDRNet: Cross-Guided Modality Difference Reduction Network for RGB-T Salient Object Detection
Paper /Code
04
arixv Glass Segmentation with RGB-Thermal Image Pairs
Paper /Code
05
TIP Weakly Alignment-free RGBT Salient Object Detection with Deep Correlation Network
Paper /Code
06
TIM Real-time One-stream Semantic-guided Refinement Network for RGB-Thermal Salient Object Detection
Paper /Code
07
TCSVT Cross-Collaborative Fusion-Encoder Network for Robust RGB-Thermal Salient Object Detection
Paper /Code
08
EAAI Unidirectional RGB-T salient object detection with intertwined driving of encoding and fusion
Paper /Code
09
MVA EAF-Net: an enhancement and aggregation–feedback network for RGB-T salient object detection
Paper /Code
11
arxiv Mirror Complementary Transformer Network for RGB-thermal Salient Object Detection
Paper /Code
12
CVIU Enabling modality interactions for RGB-T salient object detection
Paper /Code
13
Applied Intelligence Modal complementary fusion network for RGB-T salient object detection
Paper /Code
14
TMM Does Thermal really always matter for RGB-T salient object detection
Paper /Code
15
Arxiv Interactive Context-Aware Network for RGB-T Salient Object Detection
Paper /Code
16
DSP MFENet: Multitype fusion and enhancement network for detecting salient objects in RGB-T images
Paper /Code
17
PR Cross-modal co-feedback cellular automata for RGB-T saliency detection
Paper /Code
18
KBS Asymmetric cross-modal activation network for RGB-T salient object detection
Paper /Code
No. Pub. Title Links
01
TCSVT Cross-Modality Double Bidirectional Interaction and Fusion Network for RGB-T Salient Object Detection
Paper /Code
02
TIP LSNet: Lightweight Spatial Boosting Network for Detecting Salient Objects in RGB-Thermal Images
Paper /Code
RGB-T Semantic segmentation
No. Pub. Title Links
01
IROS MFNet: Towards Real-Time Semantic Segmentation for Autonomous Vehicles with Multi-Spectral Scenes
Paper /Code
No. Pub. Title Links
01
RAL RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes
Paper /Code
No. Pub. Title Links
01
ICRA PST900: RGB-Thermal Calibration, Dataset and Segmentation Network
Paper /Code
02
TASE FuseSeg: Semantic Segmentation of Urban Scenes Based on RGB and Thermal Data Fusion
Paper /Code
02
CINE Using thermal intensities to build conditional random fields for object segmentation at night
Paper /Code
No. Pub. Title Links
🚩01
TIP GMNet: Graded-Feature Multilabel-Learning Network for RGB-Thermal Urban Scene Semantic Segmentation
Paper /Code
🚩02
CVPR ABMDRNet: Adaptive-weighted Bi-directional Modality Difference Reduction Network for RGB-T Semantic Segmentation
Paper /Code
03
IROS FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation
Paper /Code
04
Measurement Robust semantic segmentation based on RGB-thermal in variable lighting scenes
Paper /Code
05
TMM MFFENet: Multiscale Feature Fusion and Enhancement Network for RGBThermal Urban Road Scene Parsing
Paper /Code
06
Applied Intelligence MMNet: Multi-modal multi-stage network for RGB-T image semantic segmentation
Paper /Code
07
Neurocomputing CCAFFMNet: Dual-spectral semantic segmentation network with channel-coordinate attention feature fusion module
Paper /Code
08
IROS HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images
Paper /Code
No. Pub. Title Links
🚩01
AAAI Edge-aware guidance fusion network for RGB–thermal scene parsing
Paper /Code
02
TIV MTANet: Multitask-Aware Network with Hierarchical Multimodal Fusion for RGB-T Urban Scene Understanding
Paper /Code
🚩 03
arixv CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
Paper /Code
03
ACPR ARTSeg: Employing Attention for Thermal Images Semantic Segmentation
Paper /Code
04
Neurocomputing GCNet: Grid-Like Context-Aware Network for RGB-Thermal Semantic Segmentation
Paper /Code
05
TCSVT RGB-T Semantic Segmentation with Location, Activation, and Sharpening
Paper /Code
06
SPL GEBNet: Graph-Enhancement Branch Network for RGB-T Scene Parsing
Paper /Code
07
TCSVT A Feature Divide-and-Conquer Network for RGB-T Semantic Segmentation
Paper /Code
No. Pub. Title Links
01
TITS Embedded Control Gate Fusion and Attention Residual Learning for RGB–Thermal Urban Scene Parsing
Paper /Code
No. Pub. Title Links
🚩01
CVPR Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting
Paper /Code
02
IC-NIDC I-MMCCN: Improved MMCCN for RGB-T Crowd Counting of Drone Images
Paper /Code
No. Pub. Title Links
🚩01
TITS DEFNet: Dual-Branch Enhanced Feature Fusion Network for RGB-T Crowd Counting
Paper /Code
02
ISCAS TAFNet: A Three-Stream Adaptive Fusion Network for RGB-T Crowd Counting
Paper /Code
03
ACCV Spatio-channel Attention Blocks for Cross-modal Crowd Counting
Paper /Code
RGBT SOD Saliency Dataset(VT821,VT1000,VT5000) VT800,VT1000,VT5000 . RGBT Semantic segmentation Dataset(MFNet,PST900) MFNet and PST900 . RGBT Crowd Counting Dataset(RGBT-CC) RBGT-CC
RGBT SOD Saliency Evaluation here(CPU) and here(GPU) . here(include weighted F) and here . RGBT Semantic segmentation Evaluation RTFNet or GMNet . RGBT Crowd Counting DEFNet or BL+IADM
RGBD SOD Summary1： https://github.com/jiwei0921/SOD-CNNs-based-code-summary- .RGBD SOD Summary2： https://github.com/taozh2017/RGBD-SODsurvey . RGBT SOD Summary： https://github.com/lz118/RGBT-Salient-Object-Detection .
The collection of this summary is thanks to Zhun Li , jinfu Liu and Yi Pan . ji wei .
🏳️🌈 Thanks to the above authors for their excellent work！ 
