Knowledge base question answering (KBQA) is a critical yet challenging t...
Recent investigations show that large language models (LLMs), specifical...
Existing open-world universal segmentation approaches usually leverage C...
Structured tabular data exist across nearly all fields. Reasoning task o...
Prompt tuning has been employed as an efficient way to adapt large
visio...
Pre-training across 3D vision and language remains under development bec...
For long-tailed classification, most works often pretrain a big model on...
Weakly-supervised object detection (WSOD) aims to train an object detect...
Mirror detection aims to identify the mirror regions in the given input
...
Recent works have shown promising results of prompt tuning in stimulatin...
The few-shot learning ability of vision transformers (ViTs) is rarely
in...
Weakly-supervised object detection (WSOD) has emerged as an inspiring re...
Online knowledge libraries refer to the online data warehouses that
syst...