Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchangeby Yanhao Wu, Tong Zhang,…
Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypesby Poulami Sinhamahapatra,…
Adaptive Discrete Disparity Volume for Self-supervised Monocular Depth Estimationby Jianwei RenFirst submitted to arxiv on:…
Learning to Plan for Language Modeling from Unlabeled Databy Nathan Cornille, Marie-Francine Moens, Florian MaiFirst…
HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understandingby Rihui Jin, Yu…
MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneckby Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin XuFirst…
Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimationby Hyeon-Ju Jeon, Jeon-Ho…
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classificationby Eva Pachetti,…
L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression predictionby Rachid…
Point-DETR3D: Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detectionby Hongzhi…