Rgb-Event Object Tracking

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End-to-End Self-Supervised RGB-T Tracking without Modality Misleading
Sep 29, 2026Shenglan Li, Rui Yao, Kunyang Sun +4Rgb-Event Object Tracking Rgb-Thermal
School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, China. · Mine Digitization Engineering Research Center of the Ministry of Education, China. · University of Auckland, Auckland, New Zealand. +1
Parameter-Dynamic Adaptive Fusion and Calibration Network for RGBT Tracking
Aug 3, 2026Zhaoding Ding, Chenglong Li, Jiandong Jin +2Rgb-Event Object Tracking Rgbt
School of Artificial Intelligence, Anhui University · State Key Laboratory of Opt-Electronic Information Acquisition and Protection Technology, Anhui University · School of Computer Science and Technology, Anhui University
Beyond Symmetric Fusion: Exploiting Task-Dependent Modality Strengths for RGB-Event Small Object Detection
Aug 2, 2026Ziheng Wang, Chaolang Li, Yutong Yang +5Rgb-Event Object Tracking Detection Transformer
Sun Yat-sen University · Shenzhen University
Spatio-Temporal Conditional Denoising Transformer for Modality-Missing RGBT Tracking
Jul 27, 2026Andong Lu, Ziyi Zha, Jiandong Jin +4Rgb-Event Object Tracking Spatio-Temporal Transformers
School of Computer Science and Technology, Anhui University, China · School of Artificial Intelligence, Anhui University, China
DRGBT-1K: A Large-scale High-quality Benchmark for Dynamic RGBT Tracking
Jul 22, 2026Zhaodong Ding, Chenglong Li, Zeyu Ding +2Rgb-Event Object Tracking Multi-Object Tracking
School of Artificial Intelligence, State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology and Anhui Provincial Key Laboratory of Security Artificial Intelligence, Anhui University, Hefei 230601, China · State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology and Anhui Provincial Key Laboratory of Security Artificial Intelligence, Anhui University, Hefei 230601, China · School of Computer Science, Anhui University, Hefei 230601, China +1
Event-RGB Adaptive Tracking for Nighttime Highway Perception
Jul 13, 2026Haidong Wang, Hengxing Cai, Wanlei Li +2Rgb-Event Object Tracking Multi-Object Tracking
School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China · School of Intelligence Science and Engineering, Harbin Institute of Technology, Shenzhen, China
Efficient RGB-T Object Detection via Sparse Cross-Modality Fusion
Jun 29, 2026Chao Tian, Zikun Zhou, Chao Yang +2Rgb-Thermal Object Detection Rgb-Event Object Tracking
Harbin Institute of Technology, Shenzhen, Guangdong, China
CMTFormer: Marrying Transformer with Hierarchical Information Interaction for RGB-Event Object Detection
Jun 28, 2026Yu Li, Yuenan Hou, Yingmei Wei +2Rgb-Event Object Tracking Cross-Modal Fusion
aLaboratory for Big Data and Decision, National University of Defense Technology, Changsha, Hunan, China · bShanghai AI Laboratory, Shanghai, Shanghai, China
Active Adversarial Perturbation-driven Associative Memory Retrieval for RGB-Event Visual Object Tracking
Jun 24, 2026Xiao Wang, Xufeng Lou, Zikang Yan +5Rgb-Event Object Tracking Multimodal Fusion
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, China
A Multimodal RGB and Events Dataset for Hand Detection in First-Person View
Jun 9, 2026Bharghav Kota, Yulia Sandamirskaya3D Hand Rgb-Event Object Tracking
Zurich University of Applied Sciences, Wädenswil, Switzerland · Zurich University of Applied Sciences Wädenswil, Switzerland
TIDES: Time-Derivative Event Simulation via Deformable Reconstruction
Jun 1, 2026Christopher Thirgood, Dipon Kumar Ghosh, Simon HadfieldRgb-Event Object Tracking Upsampling
University of Surrey, Guildford, Surrey, UK
AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery
May 23, 2026Raju Imandi, Chethana B, Bharatesh Chakravarthi +3Adaptive Feature Fusion Rgb-Event Object Tracking
SRM University AP, India · Aptiv, Bengaluru, India · Arizona State University, USA +2
RE-VLM: Event-Augmented Vision-Language Model for Scene Understanding
May 19, 2026Hanqing Liu, Mingjie Liu, Luoping Cui +3Recent Vision-Language Models Ava-Vlm
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China · School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China 2State Key Laboratory of General Artificial Intelligence, BIGAI, Beijing, China
Physical Adversarial Clothing Evades Visible-Thermal Detectors via Non-Overlapping RGB-T Pattern
May 6, 2026Xiaopei Zhu, Guanning Zeng, Zhanhao Hu +2Rgb-Event Object Tracking Rgbt
Department of Computer Science and Technology, BNRist, Tsinghua University · University of California Berkeley · IDG/McGovern Institute for Brain Research, Tsinghua University +1
FreqTrack: Frequency Learning based Vision Transformer for RGB-Event Object Tracking
Apr 16, 2026Jinlin You, Muyu Li, Xudong ZhaoRgb-Event Object Tracking Rgbt
Dalian University of Technology
E-VLA: Event-Augmented Vision-Language-Action Model for Dark and Blurred Scenes
Apr 6, 2026Jiajun Zhai, Hao Shi, Shangwei Guo +2Diffusion-Based Vision-Language-Actions Generalist Vision--Language--Action
Zhejiang University · Ant Group · Hunan University
RGBT-GroundBench: Visual Grounding Beyond RGB in Complex Real-World Scenarios
Dec 31, 2025Tianyi Zhao, Jiawen Xi, Linhui Xiao +4Visual Grounding Benchmarks Rgb-Event Object Tracking
Institute of Artificial Intelligence, State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China · Pengcheng Laboratory, Shenzhen, China · Shanghai Jiao Tong University, Shanghai, China

Sep 29, 2026, cs.CVJ/K move · Enter open · S save

End-to-End Self-Supervised RGB-T Tracking without Modality Misleading

Shenglan Li, Rui Yao, Kunyang Sun, Hong Jia+3

School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, China. · Mine Digitization Engineering Research Center of the Ministry of Education, China. · University of Auckland, Auckland, New Zealand.+1

Rgb-Event Object Tracking Rgb-Thermal Infrared Modalities

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RGB-T object tracking leverages the complementary characteristics of visible and thermal infrared modalities to improve robustness under adverse conditions. Existing supervised methods typically rely on costly modality-aligned bounding box annotations, while most self-supervised approaches follow a two-stage pseudo-labeling paradigm, making tracker training sensitive to pseudo-label quality and preventing joint end-to-end optimization. In this paper, we propose ESMTrack, a fully end-to-end self-supervised RGB-T tracking framework without offline pseudo-label generation or dense frame-level bounding box annotations. Given only the standard initial-frame annotation used in visual tracking, ESMTrack learns discriminative and temporally consistent representations through two complementary objectives: a grounding triplet loss on annotated initial frames and a cross-frame temporal triplet loss on unlabeled search frames, with reliable samples selected by forward-backward consistency. To address modality dominance bias, ESMTrack employs a three-branch architecture consisting of a fusion branch and two unimodal branches for RGB and thermal inputs. We quantify modality contributions using the Average Peak-to-Correlation Energy by measuring response discrepancies between the fusion and unimodal branches. The resulting reliability estimates guide a training-time modality decoupling mechanism that suppresses dominant-modality shortcuts and adaptively weights cross-modal contrastive learning for task-level alignment. Extensive experiments on five RGB-T tracking benchmarks show that ESMTrack achieves competitive state-of-the-art performance, strong cross-dataset generalization, and real-time inference speed. The source code is available at https://github.com/LiShenglana/ESMTrack.

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