Webnetwork to increase the fusion capacity with a small number of parameters while reducing the dependence on large-scale training data in RGBT tracking. • We design an attribute-specic fusion strategy to disen-tangle the fusion process via five challenge attributes. Each fusion branch only requires a small number of pa- WebKeywords: Cross-modal Fusion , Dynamic Tracking Aggregation , RGB-T Tracking , Transformers . 1. Introduction ... He, and F. Wang, "Deep adaptive fusion network for high performance RGBT tracking," in Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, Seoul, South Korea, 2024, pp. 91-99.doi:[ ...
Dynamic Fusion Network for RGBT Tracking Papers With Code
WebSep 16, 2024 · This paper proposes a novel RGBT tracking method, called Dynamic Fusion Network (DFNet), which adopts a two-stream structure, in which two non-shared … WebMar 26, 2024 · Existing Transformer-based RGBT tracking methods either use cross-attention to fuse the two modalities, or use self-attention and cross-attention to model both modality-specific and modality-sharing information. However, the significant appearance gap between modalities limits the feature representation ability of certain modalities during … soldier earring kh2
Dynamic Fusion Network for RGBT Tracking - ResearchGate
WebOct 1, 2024 · This paper proposes a novel RGBT tracking method, called Dynamic Fusion Network (DFNet), which adopts a two-stream structure, in which two non-shared … WebJan 21, 2024 · 5 Conclusion. In this paper, we first explore different fusion strategies at three levels, i.e. , pixel-level, feature-level and decision-level, and the experimental results show that fusion at the decision level performs the best with only visible data employed for training. Therefore, we proposed a novel fusion strategy at the decision level ... WebJun 28, 2024 · RGBT tracking usually suffers from various challenge factors, such as fast motion, scale variation, illumination variation, thermal crossover and occlusion, to name a few. Existing works often study fusion models to solve all challenges simultaneously, and it requires fusion models complex enough and training data large enough, which are … sm9 vs sm8 wedges