Genre
UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior Y ao Wu
The essence of simultaneously solving cross-domain tasks is to enhance the general-izability of the encoder.
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening Guy Bar-Shalom
This paper introduces a new Subgraph GNN framework to address these issues.
OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images
Moreover, the volume discrepancy between 3D and 2D pretraining datasets highlights the need for effective strategies to transfer the representational abilities of VLMs to 3D learning.
T APTRv2: Attention-based Position Update Improves Tracking Any Point Hongyang Li1,2 Hao Zhang
Thus most methods are not general and have to be fine-tuned for each video.
MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings Laxman Dhulipala Google Research and UMD Majid Hadian Google DeepMind Rajesh Jayaram
Neural embedding models have become a fundamental component of modern information retrieval (IR) pipelines.
Responsible AI (RAI) Games and Ensembles
In this work, we provide a general framework for studying these problems, which we refer to as Responsible AI (RAI) games .