Summary of Large Language Models Can Understanding Depth From Monocular Images, by Zhongyi Xia and Tianzhao Wu
Large Language Models Can Understanding Depth from Monocular Imagesby Zhongyi Xia, Tianzhao WuFirst submitted to…
Large Language Models Can Understanding Depth from Monocular Imagesby Zhongyi Xia, Tianzhao WuFirst submitted to…
FMRFT: Fusion Mamba and DETR for Query Time Sequence Intersection Fish Trackingby Mingyuan Yao, Yukang…
ESP-PCT: Enhanced VR Semantic Performance through Efficient Compression of Temporal and Spatial Redundancies in Point…
Integrating End-to-End and Modular Driving Approaches for Online Corner Case Detection in Autonomous Drivingby Gemb…
Conversational Complexity for Assessing Risk in Large Language Modelsby John Burden, Manuel Cebrian, Jose Hernandez-OralloFirst…
Path-Consistency: Prefix Enhancement for Efficient Inference in LLMby Jiace Zhu, Yingtao Shen, Jie Zhao, An…
Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modelingby Haicheng Liao, Yongkang Li,…
Pediatric brain tumor classification using digital histopathology and deep learning: evaluation of SOTA methods on…
Pairing Analogy-Augmented Generation with Procedural Memory for Procedural Q&Aby K Roth, Rushil Gupta, Simon Halle,…
Language Models Benefit from Preparation with Elicited Knowledgeby Jiacan Yu, Hannah An, Lenhart K. SchubertFirst…