4 papers
BatteryMFormer: Multi-level Learning for Battery Degradation Trajectory Forecasting
Ruifeng Tan, Jintao Dong, Weixiang Hong +3
Early battery degradation trajectory forecasting (BDTF), which predicts the full-life state-of-health trajectory from early operational data, is critical for battery optimization,…
Divide-and-Conquer Inference for Large-Scale Visual Recognition with Multimodal Large Language Models
Zhipeng Ye, Jiaqi Huang, Feng Jiang +5
Multimodal Large Language Models (MLLMs) have demonstrated strong capabilities across a wide range of vision language tasks. However, when applied to large scale image classificati…
EagleVision: A Multi-Task Benchmark for Cross-Domain Perception in High-Speed Autonomous Racing
Zakhar Yagudin, Murad Mebrahtu, Ren Jin +5
High-speed autonomous racing presents extreme perception challenges, including large relative velocities and substantial domain shifts from conventional urban-driving datasets. Exi…
IDEA: Image Description Enhanced CLIP-Adapter
Zhipeng Ye, Feng Jiang, Qiufeng Wang +2
CLIP (Contrastive Language-Image Pre-training) has attained great success in pattern recognition and computer vision. Transferring CLIP to downstream tasks (e.g. zero- or few-shot…