Search Results for author:
Found 7 papers, 3 papers with code
Divert More Attention to Vision-Language Object Tracking
To thoroughly evidence the effectiveness of our method, we integrate the proposed framework on three tracking methods with different designs, i. e., the CNN-based SiamCAR, the Transformer-based OSTrack, and the hybrid structure TransT.
Deep Generative Mixture Model for Robust Imbalance Classification
In this paper, a deep generative classifier is proposed to mitigate this issue via both model perturbation and data perturbation.
Siamese transformer with hierarchical concept embedding for fine-grained image recognition
In particular, one subnetwork is for coarse-scale patches to learn the discriminative regions with the aid of the innate multi-head self-attention mechanism of the transformer.
Divert More Attention to Vision-Language Tracking
By revealing the potential of VL representation, we expect the community to divert more attention to VL tracking and hope to open more possibilities for future tracking beyond Transformer.
Learning Target-aware Representation for Visual Tracking via Informative Interactions
The proposed GIM module and InBN mechanism are general and applicable to different backbone types including CNN and Transformer for improvements, as evidenced by our extensive experiments on multiple benchmarks.
The First 3D Coronal Loop Model Heated by MHD Waves against Radiative Losses
In the quest to solve the long-standing coronal heating problem, it has been suggested half a century ago that coronal loops could be heated by waves.
Solar and Stellar Astrophysics
Coronal heating by MHD waves
In this review we focus on recent advances in our understanding of MHD wave heating mechanisms.
Solar and Stellar Astrophysics
