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cs.CV2025
Traffic-MLLM: Curiosity-Regularized Supervised Learning for Traffic Scenario Case-Based Reasoning
Waikit Xiu, Qiang Lu, Bingchen Liu +2
For safe and robust autonomous driving, decision-making systems must effectively leverage past experiences to handle the inherent long-tail of traffic scenarios. Case-Based Reasoni…
cs.CV2025
GMM-Based Comprehensive Feature Extraction and Relative Distance Preservation For Few-Shot Cross-Modal Retrieval
Chengsong Sun, Weiping Li, Xiang Li +2
Few-shot cross-modal retrieval focuses on learning cross-modal representations with limited training samples, enabling the model to handle unseen classes during inference. Unlike t…
cs.CV2025
How Can Objects Help Video-Language Understanding?
Zitian Tang, Shijie Wang, Junho Cho +2
Do we still need to represent objects explicitly in multimodal large language models (MLLMs)? To one extreme, pre-trained encoders convert images into visual tokens, with which obj…