4 papers
SMAC: Spatial-Modal Joint Modeling and Adaptive Representation Collapse for Multimodal Object Tracking
Meijing Gao, Qitai Sun, Huanyu Sun +5
Multimodal multi-object tracking (MOT) under complex illumination remains challenging due to insufficient joint modeling of spatial and modal features and the limited adaptability…
TwinQuant: Learnable Subspace Decomposition for 4-Bit LLM Quantization
Haodong Wang, Junjie Liu, Zicong Hong +4
4-bit quantization reduces the memory footprint and latency of large language model inference, but its aggressive precision reduction can severely degrade accuracy. Prior methods a…
TrInk: Ink Generation with Transformer Network
Zezhong Jin, Shubhang Desai, Xu Chen +8
In this paper, we propose TrInk, a Transformer-based model for ink generation, which effectively captures global dependencies. To better facilitate the alignment between the input…
Competitive Distillation: A Simple Learning Strategy for Improving Visual Classification
Daqian Shi, Xiaolei Diao, Xu Chen +1
Deep Neural Networks (DNNs) have significantly advanced the field of computer vision. To improve DNN training process, knowledge distillation methods demonstrate their effectivenes…