Class-agnostic counting (CAC) has numerous potential applications across...
Two-stage object detectors generate object proposals and classify them t...
We introduce algebraic machine reasoning, a new reasoning framework that...
Class-agnostic object counting aims to count object instances of an arbi...
LiDAR-based place recognition (LPR) is one of the most crucial component...
Place recognition is an important component for autonomous vehicles to
a...
Few-shot learning (FSL) aims to learn new categories with a few visual
s...
Federated learning (FL) is a privacy-preserving distributed learning par...
The deep reinforcement learning-based energy management strategies (EMS)...
For classification tasks, deep neural networks are prone to overfitting ...
Fine-grained few-shot recognition often suffers from the problem of trai...
In zero-shot learning (ZSL), conditional generators have been widely use...
Rapid and reliable robot bin picking is a critical challenge in automati...
Robot grasping of deformable hollow objects such as plastic bottles and ...
Contact modeling is essential for robotic grasping and manipulation. The...
This paper develops a novel methodology for using symbolic knowledge in ...