Duality-Gated Mutual Condition Network for RGBT Tracking
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- Type
- article
- Published
- 2020-11-14
- Cited by
- 183
- References
- 51
- OpenAlex
- https://openalex.org/W3101990647
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:226965016
Keywords
Computer science, Discriminative model, Artificial intelligence, Modalities, Benchmark (surveying)
References
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Learning Multi-domain Convolutional Neural Networks for Visual Tracking
- Accurate Scale Estimation for Robust Visual Tracking
- ImageNet: A large-scale hierarchical image database
- Staple: Complementary Learners for Real-Time Tracking
- SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking
- Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking
- ECO: Efficient Convolution Operators for Tracking
- Grayscale-Thermal Object Tracking via Multitask Laplacian Sparse Representation
- Learning Background-Aware Correlation Filters for Visual Tracking
- Attentional Correlation Filter Network for Adaptive Visual Tracking
- Deep Mutual Learning
- FiLM: Visual Reasoning with a General Conditioning Layer
- Weighted Sparse Representation Regularized Graph Learning for RGB-T Object Tracking
- Fusing two-stream convolutional neural networks for RGB-T object tracking
- Robust Collaborative Discriminative Learning for RGB-Infrared Tracking
- High Performance Visual Tracking with Siamese Region Proposal Network
- RGB-T Object Tracking: Benchmark and Baseline
- Learning Discriminative Model Prediction for Tracking
- A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision
Cited by
- Response map evaluation for RGBT tracking
- Fusion Tree Network for RGBT Tracking
- Dynamic Collaboration Convolution for Robust RGBT Tracking
- Electrical Thermal Image Semantic Segmentation: Large-Scale Dataset and Baseline
- Self-Supervised RGB-T Tracking with Cross-Input Consistency
- RGB-T image analysis technology and application: A survey
- Differential Reinforcement and Global Collaboration Network for RGBT Tracking
- Multi-Scale Feature Interactive Fusion Network for RGBT Tracking
- Attention and Pixel Matching in RGB-T Object Tracking
- Feature mutual reinforcement learning and resampling for RGB-T tracking
- Multi-modal multi-task feature fusion for RGBT tracking
- External-attention dual-modality fusion network for RGBT tracking
- RGB-T object tracking with adaptive decision fusion
- Dual-Modality Space-Time Memory Network for RGBT Tracking
- LRAF-Net: Long-Range Attention Fusion Network for Visible–Infrared Object Detection
- Deep Triply Attention Network for RGBT Tracking
- Online Learning Samples and Adaptive Recovery for Robust RGB-T Tracking
- Bayesian Dumbbell Diffusion Model for RGBT Object Tracking With Enriched Priors
- HATFNet: Hierarchical adaptive trident fusion network for RGBT tracking
- Dynamic Feature-Memory Transformer Network for RGBT Tracking
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