Search Results for author:
Found 12 papers, 8 papers with code
Escaping the Big Data Paradigm with Compact Transformers
Our models are flexible in terms of model size, and can have as little as 0. 28M parameters while achieving competitive results.
Ranked #1 on
Image Classification
on Flowers-102
(using extra training data)
Fine-Grained Image Classification
Superpixel Image Classification
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
To better exploit the value of both pre-trained weights and unlabeled target examples, we introduce adaptive consistency regularization that consists of two complementary components: Adaptive Knowledge Consistency (AKC) on the examples between the source and target model, and Adaptive Representation Consistency (ARC) on the target model between labeled and unlabeled examples.
General Place Recognition Survey: Towards the Real-world Autonomy Age
A summary of this work and our datasets and evaluation API is publicly available to the robotics community at: https://github. com/MetaSLAM/GPRS.
Loop Closure Detection
Simultaneous Localization and Mapping
Automatic Generation of Personalized Comment Based on User Profile
Comments on social media are very diverse, in terms of content, style and vocabulary, which make generating comments much more challenging than other existing natural language generation~(NLG) tasks.
Efficient Method for Categorize Animals in the Wild
Thanks to advanced regularization strategies and ensemble learning, we got top 7/336 places in the final leaderboard.
Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy
The challenge motivates the adoption of online adaptation algorithms to update prediction models in real-time to improve the prediction performance.
Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration
The effectiveness and flexibility of the proposed method has been validated in experiments.
Robotics
An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms
Deep reinforcement learning has the potential to address various scientific problems.
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
the target property, such that the limited labels can be effectively propagated among similar molecules.
An Optics Controlling Environment and Reinforcement Learning Benchmarks
Deep reinforcement learning has the potential to address various scientific problems.
BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition
We present BioSLAM, a lifelong SLAM framework for learning various new appearances incrementally and maintaining accurate place recognition for previously visited areas.
Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control
Second, it is difficult to ensure interactive safety due to uncertainty in human behaviors.
