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08/19/2023
FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
Large language models (LLMs) have demonstrated exceptional performance i...
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07/03/2023
A Survey on Graph Classification and Link Prediction based on GNN
Traditional convolutional neural networks are limited to handling Euclid...
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06/15/2023
Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network
EIE proposed to accelerate pruned and compressed neural networks, exploi...
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03/11/2023
Knowledge Distillation for Efficient Sequences of Training Runs
In many practical scenarios – like hyperparameter search or continual re...
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03/09/2023
Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation
Accurately estimating 3D hand pose is crucial for understanding how huma...
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12/08/2022
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration
The ability to learn from human demonstration endows robots with the abi...
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07/17/2022
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition
Rapid progress and superior performance have been achieved for skeleton-...
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07/17/2022
CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement
While category-level 9DoF object pose estimation has emerged recently, p...
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03/19/2022
Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation
6D object pose estimation is a fundamental yet challenging problem in co...
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02/19/2022
Tripartite: Tackle Noisy Labels by a More Precise Partition
Samples in large-scale datasets may be mislabeled due to various reasons...
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02/10/2022
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
A popular paradigm in robotic learning is to train a policy from scratch...
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11/23/2021
Identifying Terms and Conditions Important to Consumers using Crowdsourcing
Terms and conditions (T Cs) are pervasive on the web and often contain...
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11/07/2021
V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects
Manipulating articulated objects requires multiple robot arms in general...
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10/21/2021
Sequential Decision-Making for Active Object Detection from Hand
A key component of understanding hand-object interactions is the ability...
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09/21/2021
KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation
We present KDFNet, a novel method for 6D object pose estimation from RGB...
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09/21/2021
StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation
We present a large-scale stereo RGB image object pose estimation dataset...
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04/01/2021
RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation
The use of iterative pose refinement is a critical processing step for 6...
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11/16/2020
Time-Efficient Mars Exploration of Simultaneous Coverage and Charging with Multiple Drones
This paper presents a time-efficient scheme for Mars exploration by the ...
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12/05/2019
KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects
Estimating the 3D pose of desktop objects is crucial for applications su...
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10/21/2019
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
Understanding dynamic 3D environment is crucial for robotic agents and m...
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05/20/2019
Learning Video Representations from Correspondence Proposals
Correspondences between frames encode rich information about dynamic con...
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06/04/2018
Learning Scene Flow in 3D Point Clouds
Many applications in robotics and human-computer interaction can benefit...
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02/18/2018
Efficient Sparse-Winograd Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are computationally intensive, whic...
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05/24/2017
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
Sparsity helps reduce the computational complexity of deep neural networ...
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02/04/2016