12.1.4.4.1 RGB and Thermal Fusion for Object Extraction

Chapter Contents (Back)
Sensor Fusion. Infrared. RGB-T Object Detection. Thermal Imaging. Object Detection.

Gautam, R.S., Singh, D., Mittal, A.,
A fuzzy logic approach to detect hotspots with NOAA/AVHRR image using multi-channel information fusion technique,
SIViP(1), No. 4, October 2007, pp. 347-357.
Springer DOI 0711
BibRef

Nagla, K.S., Singh, D., Uddin, M.,
Sensor fusion framework for robust occupancy grid mapping,
AIPR13(1-8)
IEEE DOI 1408
fuzzy set theory BibRef

Nagla, K.S., Uddin, M.[Moin], Singh, D.[Dilbag], Kumar, R.[Rajeev],
Object identification in dynamic environment using sensor fusion,
AIPR10(1-4).
IEEE DOI 1010
BibRef

Ulusoy, I., Yuruk, H.,
New method for the fusion of complementary information from infrared and visual images for object detection,
IET-IPR(5), No. 1, February 2011, pp. 36-48.
DOI Link 1103
BibRef

Zhang, Q., Huang, N., Yao, L., Zhang, D., Shan, C., Han, J.,
RGB-T Salient Object Detection via Fusing Multi-Level CNN Features,
IP(29), 2020, pp. 3321-3335.
IEEE DOI 2002
RGB-T salient object detection, adjacent-depth feature combination, multi-branch group fusion, joint attention guided bi-directional message passing BibRef

Tu, Z.Z.[Zheng-Zheng], Li, Z.[Zhun], Li, C.L.[Cheng-Long], Lang, Y.[Yang], Tang, J.[Jin],
Multi-Interactive Dual-Decoder for RGB-Thermal Salient Object Detection,
IP(30), 2021, pp. 5678-5691.
IEEE DOI 2106
Decoding, Feature extraction, Object detection, Semantics, Fuses, Task analysis, Streaming media, Salient object detection, multiple interactions BibRef

Zhou, W.J.[Wu-Jie], Liu, J.F.[Jin-Fu], Lei, J.S.[Jing-Sheng], Yu, L.[Lu], Hwang, J.N.[Jenq-Neng],
GMNet: Graded-Feature Multilabel-Learning Network for RGB-Thermal Urban Scene Semantic Segmentation,
IP(30), 2021, pp. 7790-7802.
IEEE DOI 2109
Image segmentation, Semantics, Feature extraction, Decoding, Temperature sensors, Robot sensing systems, Motion segmentation, refinement strategy BibRef

Xiao, X.W.[Xiao-Wu], Wang, B.[Bo], Miao, L.J.[Ling-Juan], Li, L.H.[Lin-Hao], Zhou, Z.Q.[Zhi-Qiang], Ma, J.L.[Jin-Lei], Dong, D.D.[Dan-Dan],
Infrared and Visible Image Object Detection via Focused Feature Enhancement and Cascaded Semantic Extension,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Zhou, H.[Hang], Sun, M.[Min], Ren, X.[Xiang], Wang, X.Y.[Xiu-Yuan],
Visible-Thermal Image Object Detection via the Combination of Illumination Conditions and Temperature Information,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Wang, Q.W.[Qing-Wang], Chi, Y.[Yongke], Shen, T.[Tao], Song, J.[Jian], Zhang, Z.F.[Zi-Feng], Zhu, Y.[Yan],
Improving RGB-Infrared Object Detection by Reducing Cross-Modality Redundancy,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef
And:
Improving Rgb-Infrared Pedestrian Detection by Reducing Cross-Modality Redundancy,
ICIP22(526-530)
IEEE DOI 2211
Adaptation models, Fuses, Redundancy, Lighting, Detectors, Feature extraction, Minimization, RGB-Infrared images, mutual information minimization BibRef

An, Z.J.[Zi-Jia], Liu, C.L.[Chun-Lei], Han, Y.Q.[Yu-Qi],
Effectiveness Guided Cross-Modal Information Sharing for Aligned RGB-T Object Detection,
SPLetters(29), 2022, pp. 2562-2566.
IEEE DOI 2301
Feature extraction, Information sharing, Correlation, Interference, Object detection, Data mining, Visualization, modal effectiveness guiding BibRef

Dong, S.H.[Shao-Hua], Zhou, W.[Wujie], Qian, X.H.[Xiao-Hong], Yu, L.[Lu],
GEBNet: Graph-Enhancement Branch Network for RGB-T Scene Parsing,
SPLetters(29), 2022, pp. 2273-2277.
IEEE DOI 2212
Semantics, Convolution, Fuses, Feature extraction, Real-time systems, Deep learning, graph neural network, scene parsing BibRef

Wu, W.[Wei], Chu, T.[Tao], Liu, Q.[Qiong],
Complementarity-aware cross-modal feature fusion network for RGB-T semantic segmentation,
PR(131), 2022, pp. 108881.
Elsevier DOI 2208
RGB-T, Cross-modal fusion, Multi-supervision, Semantic segmentation BibRef

Wang, J.[Jie], Song, K.C.[Ke-Chen], Bao, Y.Q.[Yan-Qi], Huang, L.M.[Li-Ming], Yan, Y.H.[Yun-Hui],
CGFNet: Cross-Guided Fusion Network for RGB-T Salient Object Detection,
CirSysVideo(32), No. 5, May 2022, pp. 2949-2961.
IEEE DOI 2205
Feature extraction, Decoding, Object detection, Semantics, Image edge detection, Task analysis, Image segmentation, cross-level enhancement BibRef

Huo, F.S.[Fu-Shuo], Zhu, X.G.[Xue-Gui], Zhang, L.[Lei], Liu, Q.F.[Qi-Feng], Shu, Y.[Yu],
Efficient Context-Guided Stacked Refinement Network for RGB-T Salient Object Detection,
CirSysVideo(32), No. 5, May 2022, pp. 3111-3124.
IEEE DOI 2205
Feature extraction, Task analysis, Fuses, Object detection, Image segmentation, Semantics, Lighting, Salient object detection, information fusion BibRef

Zhang, Q.[Qiang], Xi, R.[Ruida], Xiao, T.L.[Tong-Lin], Huang, N.C.[Nian-Chang], Luo, Y.J.[Yong-Jiang],
Enabling Modality Interactions for RGB-T Salient Object Detection,
CVIU(222), 2022, pp. 103514.
Elsevier DOI 2209
RGB-T salient object detection, Modality interactions, Scale interactions
See also Lightweight Cross-Modal Transformer for RGB-D Salient Object Detection. BibRef

Chen, G.[Gang], Shao, F.[Feng], Chai, X.L.[Xiong-Li], Chen, H.W.[Hang-Wei], Jiang, Q.P.[Qiu-Ping], Meng, X.C.[Xiang-Chao], Ho, Y.S.[Yo-Sung],
CGMDRNet: Cross-Guided Modality Difference Reduction Network for RGB-T Salient Object Detection,
CirSysVideo(32), No. 9, September 2022, pp. 6308-6323.
IEEE DOI 2209
Feature extraction, Image edge detection, Task analysis, Object detection, Transformers, Semantics, Visualization, transformer BibRef

Pang, Y.[Yu], Wu, H.[Hao], Wu, C.D.[Cheng-Dong],
Cross-modal co-feedback cellular automata for RGB-T saliency detection,
PR(135), 2023, pp. 109138.
Elsevier DOI 2212
RGB-T saliency detection, Cellular automata, Cross-modal co-feedback framework, Pixel-wise refinement BibRef

Cong, R.M.[Run-Min], Zhang, K.[Kepu], Zhang, C.[Chen], Zheng, F.[Feng], Zhao, Y.[Yao], Huang, Q.M.[Qing-Ming], Kwong, S.[Sam],
Does Thermal Really Always Matter for RGB-T Salient Object Detection?,
MultMed(25), 2023, pp. 6971-6982.
IEEE DOI 2311
BibRef

Li, G.Y.[Gong-Yang], Wang, Y.[Yike], Liu, Z.[Zhi], Zhang, X.P.[Xin-Peng], Zeng, D.[Dan],
RGB-T Semantic Segmentation With Location, Activation, and Sharpening,
CirSysVideo(33), No. 3, March 2023, pp. 1223-1235.
IEEE DOI 2303
Semantics, Feature extraction, Image segmentation, Decoding, Lighting, Optical fibers, Collaboration, edge sharpening BibRef

Zhao, S.[Shenlu], Zhang, Q.[Qiang],
A Feature Divide-and-Conquer Network for RGB-T Semantic Segmentation,
CirSysVideo(33), No. 6, June 2023, pp. 2892-2905.
IEEE DOI 2306
Feature extraction, Semantic segmentation, Data mining, Semantics, Lighting, Decoding, Thermal sensors, RGB-T semantic segmentation, multi-scale contextual information BibRef

Zhao, Y.[Ying], Song, K.[Kechen], Cui, W.Q.[Wen-Qi], Ren, H.[Hang], Yan, Y.H.[Yun-Hui],
MFS enhanced SAM: Achieving superior performance in bimodal few-shot segmentation,
JVCIR(97), 2023, pp. 103946.
Elsevier DOI Code:
WWW Link. 2312
Segment anything, Few-shot segmentation, RGB-T SAM, Gated prediction selection BibRef

Ju, M.[Mingye], He, C.M.[Chun-Ming], Liu, J.[Juping], Kang, B.[Bin], Su, J.[Jian], Zhang, D.[Dengyin],
IVF-Net: An Infrared and Visible Data Fusion Deep Network for Traffic Object Enhancement in Intelligent Transportation Systems,
ITS(24), No. 1, January 2023, pp. 1220-1234.
IEEE DOI 2301
Task analysis, Feature extraction, Data integration, Intelligent transportation systems, Data models, Image fusion, visible image BibRef

Wu, J.[Jiawen], Shen, T.[Tao], Wang, Q.W.[Qing-Wang], Tao, Z.M.[Zhi-Min], Zeng, K.[Kai], Song, J.[Jian],
Local Adaptive Illumination-Driven Input-Level Fusion for Infrared and Visible Object Detection,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Ben-Shoushan, R.[Ravit], Brook, A.[Anna],
Fused Thermal and RGB Imagery for Robust Detection and Classification of Dynamic Objects in Mixed Datasets via Pre-Trained High-Level CNN,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Hu, S.M.[Shu-Ming], Zhao, F.[Fei], Lu, H.Z.[Huan-Zhang], Deng, Y.J.[Ying-Jie], Du, J.M.[Jin-Ming], Shen, X.L.[Xing-Lin],
Improving YOLOv7-Tiny for Infrared and Visible Light Image Object Detection on Drones,
RS(15), No. 13, 2023, pp. 3214.
DOI Link 2307
BibRef

Zhu, Y.H.[Yao-Hui], Sun, X.Y.[Xiao-Yu], Wang, M.[Miao], Huang, H.[Hua],
Multi-Modal Feature Pyramid Transformer for RGB-Infrared Object Detection,
ITS(24), No. 9, September 2023, pp. 9984-9995.
IEEE DOI 2310
BibRef

Sun, X.Y.[Xiao-Yu], Zhu, Y.H.[Yao-Hui], Huang, H.[Hua],
Specificity-Guided Cross-Modal Feature Reconstruction for RGB-Infrared Object Detection,
ITS(26), No. 1, January 2025, pp. 950-961.
IEEE DOI Code:
WWW Link. 2501
Feature extraction, Object detection, Image reconstruction, Fuses, Lighting, Correlation, Proposals, Detection algorithms, multi-modal fusion BibRef

He, M.Z.[Ming-Zhou], Wu, Q.B.[Qing-Bo], Ngan, K.N.[King Ngi], Jiang, F.[Feng], Meng, F.M.[Fan-Man], Xu, L.F.[Lin-Feng],
Misaligned RGB-Infrared Object Detection via Adaptive Dual-Discrepancy Calibration,
RS(15), No. 19, 2023, pp. 4887.
DOI Link 2310
BibRef

Zhou, W.[Wujie], Zhu, Y.[Yun], Lei, J.S.[Jing-Sheng], Yang, R.[Rongwang], Yu, L.[Lu],
LSNet: Lightweight Spatial Boosting Network for Detecting Salient Objects in RGB-Thermal Images,
IP(32), 2023, pp. 1329-1340.
IEEE DOI 2303
Transfer learning, Boosting, Semantics, Prediction algorithms, Mobile handsets, Manifolds, Graphics processing units, efficient salient object detection BibRef

Zhou, H.[Heng], Tian, C.[Chunna], Zhang, Z.X.[Zhen-Xi], Li, C.Y.[Cheng-Yang], Ding, Y.X.[Yu-Xuan], Xie, Y.Q.[Yong-Qiang], Li, Z.B.[Zhong-Bo],
Position-Aware Relation Learning for RGB-Thermal Salient Object Detection,
IP(32), 2023, pp. 2593-2607.
IEEE DOI 2305
Transformers, Feature extraction, Decoding, Object detection, Merging, Task analysis, Level set, Salient object detection, position-aware relation learning BibRef

Zhou, H.[Heng], Tian, C.[Chunna], Zhang, Z.X.[Zhen-Xi], Li, C.Y.[Cheng-Yang], Xie, Y.Q.[Yong-Qiang], Li, Z.B.[Zhong-Bo],
Frequency-Aware Feature Aggregation Network with Dual-Task Consistency for RGB-T Salient Object Detection,
PR(146), 2024, pp. 110043.
Elsevier DOI 2311
RGB-thermal, Salient object detection, Frequency feature aggregation, Dual-task consistency BibRef

Feng, H.T.[Hang-Tao], Zhang, L.[Lu], Zhang, S.Q.[Si-Qi], Wang, D.[Dong], Yang, X.[Xu], Liu, Z.Y.[Zhi-Yong],
RTDOD: A large-scale RGB-thermal domain-incremental object detection dataset for UAVs,
IVC(140), 2023, pp. 104856.
Elsevier DOI Code:
WWW Link. 2312
Domain-incremental object detection, Dataset, RGB-T dataset, Object detection dataset, UAVs dataset, Object detection BibRef

Wang, Y.[Yike], Li, G.Y.[Gong-Yang], Liu, Z.[Zhi],
SGFNet: Semantic-Guided Fusion Network for RGB-Thermal Semantic Segmentation,
CirSysVideo(33), No. 12, December 2023, pp. 7737-7748.
IEEE DOI Code:
WWW Link. 2312
BibRef

Zhou, W.[Wujie], Zhang, H.[Han], Yan, W.Q.[Wei-Qing], Lin, W.S.[Wei-Si],
MMSMCNet: Modal Memory Sharing and Morphological Complementary Networks for RGB-T Urban Scene Semantic Segmentation,
CirSysVideo(33), No. 12, December 2023, pp. 7096-7108.
IEEE DOI Code:
WWW Link. 2312
BibRef

Lv, Y.[Ying], Liu, Z.[Zhi], Li, G.Y.[Gong-Yang],
Context-Aware Interaction Network for RGB-T Semantic Segmentation,
MultMed(26), 2024, pp. 6348-6360.
IEEE DOI 2404
Semantic segmentation, Feature extraction, Semantics, Task analysis, Transformers, Context modeling, Solid modeling, RGB-T semantic segmentation BibRef

Dong, S.H.[Shao-Hua], Zhou, W.[Wujie], Xu, C.[Caie], Yan, W.Q.[Wei-Qing],
EGFNet: Edge-Aware Guidance Fusion Network for RGB-Thermal Urban Scene Parsing,
ITS(25), No. 1, January 2024, pp. 657-669.
IEEE DOI 2402
Feature extraction, Semantics, Data mining, Image edge detection, Fuses, Task analysis, Visualization, Deep supervision, edge map, RGB-thermal urban scene parsing BibRef

Jiang, X.R.[Xiu-Rong], Hou, Y.F.[Yi-Fan], Tian, H.[Hui], Zhu, L.[Lin],
Mirror complementary transformer network for RGB-thermal salient object detection,
IET-CV(18), No. 1, 2024, pp. 15-32.
DOI Link Code:
WWW Link. 2403
image segmentation, object detection BibRef

Zhang, R.H.[Rui-Heng], Li, L.[Lu], Zhang, Q.[Qi], Zhang, J.[Jin], Xu, L.X.[Li-Xin], Zhang, B.M.[Bao-Min], Wang, B.[Binglu],
Differential Feature Awareness Network Within Antagonistic Learning for Infrared-Visible Object Detection,
CirSysVideo(34), No. 8, August 2024, pp. 6735-6748.
IEEE DOI 2408
Feature extraction, Object detection, Videos, Data mining, Semantics, Pedestrians, Image color analysis, multi-modal feature fusion BibRef

Wang, J.[Jue], Lin, Y.X.[Yu-Xiang], Zhao, Q.[Qi], Luo, D.[Dong], Chen, S.[Shuaibao], Chen, W.[Wei], Peng, X.J.[Xiao-Jiang],
Invisible gas detection: An RGB-thermal cross attention network and a new benchmark,
CVIU(248), 2024, pp. 104099.
Elsevier DOI Code:
WWW Link. 2409
Gas detection, Computer vision, RGB-Thermal, Gas-DB BibRef

Li, W.[Wuxin], Chen, Q.[Qian], Gu, G.H.[Guo-Hua], Sui, X.[Xiubao],
Object matching of visible-infrared image based on attention mechanism and feature fusion,
PR(158), 2025, pp. 110972.
Elsevier DOI 2411
Siamese network, Infrared image, Visible image, Image match, Feature fusion BibRef

Xu, Q.Q.[Qi-Qi], Di, Z.G.[Zhen-Guang], Dong, H.Y.[Hao-Yu], Yang, G.[Gang],
Feature differences reduction and specific features preserving network for RGB-T salient object detection,
IVC(152), 2024, pp. 105302.
Elsevier DOI Code:
WWW Link. 2412
RGB-T salient object detection, Modality differences, Specific features, Multi-modal fusion BibRef

Lai, W.J.[Wen-Jie], Zeng, F.[Fanyu], Hu, X.[Xiao], He, S.W.[Shao-Wei], Liu, Z.J.[Zi-Ji], Jiang, Y.D.[Ya-Dong],
RegSeg: An End-to-End Network for Multimodal RGB-Thermal Registration and Semantic Segmentation,
IP(33), 2024, pp. 6676-6690.
IEEE DOI 2412
Semantic segmentation, Accuracy, Semantics, Deformation, Feature extraction, Registers, Real-time systems, Noise, shared encoder BibRef

Luo, Y.[Yi], Shao, F.[Feng], Mu, B.[Baoyang], Chen, H.W.[Hang-Wei], Li, Z.[Zhuo], Jiang, Q.P.[Qiu-Ping],
Dynamic Weighted Fusion and Progressive Refinement Network for Visible-Depth-Thermal Salient Object Detection,
CirSysVideo(34), No. 11, November 2024, pp. 10662-10677.
IEEE DOI 2412
Feature extraction, Task analysis, Object detection, Decoding, Semantics, Lighting, Data mining, triple-modal fusion BibRef

Zeng, Y.Q.[Yu-Qiao], Liang, T.F.[Teng-Fei], Jin, Y.[Yi], Li, Y.D.[Yi-Dong],
MMI-Det: Exploring Multi-Modal Integration for Visible and Infrared Object Detection,
CirSysVideo(34), No. 11, November 2024, pp. 11198-11213.
IEEE DOI 2412
Feature extraction, Image fusion, Object detection, Task analysis, Optimization, Circuits and systems, Data mining, Fourier transformation BibRef

Wang, S.[Shuo], Yang, G.[Gang], Xu, Q.Q.[Qi-Qi], Dai, X.[Xun],
Leveraging modality-specific and shared features for RGB-T salient object detection,
IET-CV(18), No. 8, 2024, pp. 1285-1299.
DOI Link Code:
WWW Link. 2501
learning (artificial intelligence) BibRef

Chen, L.[Liang], Zhong, B.[Bineng], Liang, Q.H.[Qi-Hua], Zheng, Y.Z.[Yao-Zong], Mo, Z.Y.[Zhi-Yi], Song, S.[Shuxiang],
Top-Down Cross-Modal Guidance for Robust RGB-T Tracking,
CirSysVideo(34), No. 12, December 2024, pp. 12388-12398.
IEEE DOI 2501
Target tracking, Feature extraction, Decoding, Task analysis, Transformers, Visualization, Encoding, Multi-modal tracking, single-object tracking BibRef

Wei, C.H.[Chi-Heng], Bai, L.[Lianfa], Chen, X.Y.[Xiao-Yu], Han, J.[Jing],
Cross-Modality Data Augmentation for Aerial Object Detection with Representation Learning,
RS(16), No. 24, 2024, pp. 4649.
DOI Link 2501
BibRef

Peng, F.G.[Feng-Guang], Ding, Z.[Zihan], Chen, Z.M.[Zi-Ming], Wang, G.[Gang], Hui, T.R.[Tian-Rui], Liu, S.[Si], Shi, H.[Hang],
Region-adaptive and context-complementary cross modulation for RGB-T semantic segmentation,
PR(147), 2024, pp. 110092.
Elsevier DOI 2312
RGB-Thermal, Semantic segmentation, Region-Adaptive Channel Modulation, Context-Complementary Spatial Modulation BibRef

Bao, L.X.[Liu-Xin], Zhou, X.F.[Xiao-Fei], Zheng, B.[Bolun], Cong, R.M.[Run-Min], Yin, H.B.[Hai-Bing], Zhang, J.Y.[Ji-Yong], Yan, C.G.[Cheng-Gang],
IFENet: Interaction, Fusion, and Enhancement Network for V-D-T Salient Object Detection,
IP(34), 2025, pp. 483-494.
IEEE DOI Code:
WWW Link. 2501
Visible-depth-thermal. V-D-T. Feature extraction, Object detection, Correlation, Logic gates, Decoding, Transformers, Semantics, Cognition, Visualization, Fuses, enhancement BibRef


Guo, J.J.[Jun-Jie], Gao, C.Q.[Chen-Qiang], Liu, F.[Fangcen], Meng, D.Y.[De-Yu], Gao, X.B.[Xin-Bo],
Damsdet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion,
ECCV24(XXVII: 464-481).
Springer DOI 2412
Code:
WWW Link. BibRef

Xu, J.[Jiacong], Liao, M.Q.[Ming-Qian], Kathirvel, R.P.[Ram Prabhakar], Patel, V.M.[Vishal M.],
Leveraging Thermal Modality to Enhance Reconstruction in Low-light Conditions,
ECCV24(XXXVII: 321-339).
Springer DOI 2412
BibRef

Zhao, G.Q.[Guo-Qiang], Huang, J.J.[Jun-Jie], Yan, X.Y.[Xiao-Yun], Wang, Z.J.[Zhao-Jing], Tang, J.W.[Jun-Wei], Ou, Y.J.[Yang-Jun], Hu, X.R.[Xin-Rong], Peng, T.[Tao],
Open-Vocabulary RGB-Thermal Semantic Segmentation,
ECCV24(LXXIV: 304-320).
Springer DOI 2412
BibRef

El Ahmar, W.[Wassim], Massoud, Y.[Yahya], Kolhatkar, D.[Dhanvin], AlGhamdi, H.[Hamzah], Alja'Afreh, M.[Mohammad], Laganiere, R.[Robert], Hammoud, R.[Riad],
Enhanced Thermal-RGB Fusion for Robust Object Detection,
PBVS23(365-374)
IEEE DOI 2309
BibRef

Zhao, W.[Wenda], Xie, S.[Shigeng], Zhao, F.[Fan], He, Y.[You], Lu, H.C.[Hu-Chuan],
MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding from Object Detection,
CVPR23(13955-13965)
IEEE DOI 2309
BibRef

Arif, M.[Maliha], Yong, C.[Calvin], Mahalanobis, A.[Abhijit], Rahnavard, N.[Nazanin],
Background-Tolerant Object Classification With Embedded Segmentation Mask For Infrared and Color Imagery,
ICIP22(1546-1550)
IEEE DOI 2211
Training, Image segmentation, Image recognition, Shape, Image color analysis, Focusing, Data visualization, MS-COCO BibRef

Liu, J.Y.[Jin-Yuan], Fan, X.[Xin], Huang, Z.[Zhanbo], Wu, G.Y.[Guan-Yao], Liu, R.S.[Ri-Sheng], Zhong, W.[Wei], Luo, Z.X.[Zhong-Xuan],
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection,
CVPR22(5792-5801)
IEEE DOI 2210
Visualization, Fuses, Object detection, Benchmark testing, Adversarial machine learning, Sensor systems, Datasets and evaluation BibRef

Ataman, F.C.[Ferhat Can], Akar, G.B.[Güzde Bozdagi],
Visible and Infrared Image Fusion Using Encoder-Decoder Network,
ICIP21(1779-1783)
IEEE DOI 2201
Performance evaluation, Image segmentation, Convolution, Focusing, Object detection, Real-time systems, infrared, visible images, encoder-decoder network BibRef

Changrampadi, M.H.[Mohamed H.], Yun, Y.X.[Yi-Xiao], Gu, I.Y.H.[Irene Y.H.],
Multi-class ada-boost classification of object poses through visual and infrared image information fusion,
ICPR12(2865-2868).
WWW Link. 1302
BibRef

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Stereo and Depth Using Thermal and Visible, 3D Features, Objects .


Last update:Jan 20, 2025 at 11:36:25