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09/18/2023
Improving Neural Indoor Surface Reconstruction with Mask-Guided Adaptive Consistency Constraints
3D scene reconstruction from 2D images has been a long-standing task. In...
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07/17/2023
ShiftNAS: Improving One-shot NAS via Probability Shift
One-shot Neural architecture search (One-shot NAS) has been proposed as ...
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05/28/2023
Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning
Large pre-trained models (LPMs), such as LLaMA and ViT-G, have shown exc...
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04/19/2023
CrossFusion: Interleaving Cross-modal Complementation for Noise-resistant 3D Object Detection
The combination of LiDAR and camera modalities is proven to be necessary...
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06/30/2022
MKIoU Loss: Towards Accurate Oriented Object Detection in Aerial Images
Oriented bounding box regression is crucial for oriented object detectio...
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05/04/2022
Multi-subgoal Robot Navigation in Crowds with History Information and Interactions
Robot navigation in dynamic environments shared with humans is an import...
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04/13/2022
De-IReps: Searching for improved Re-parameterizing Architecture based on Differentiable Evolution Strategy
In recent years, neural architecture search (NAS) has shown great compet...
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01/08/2022
Real-time Rail Recognition Based on 3D Point Clouds
Accurate rail location is a crucial part in the railway support driving ...
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12/31/2021
Conditional Generative Data-Free Knowledge Distillation based on Attention Transfer
Knowledge distillation has made remarkable achievements in model compres...
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11/03/2021
A Self-adaptive LSAC-PID Approach based on Lyapunov Reward Shaping for Mobile Robots
To solve the coupling problem of control loops and the adaptive paramete...
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10/12/2021
Across-Task Neural Architecture Search via Meta Learning
Adequate labeled data and expensive compute resources are the prerequisi...
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09/21/2021
Oriented Object Detection in Aerial Images Based on Area Ratio of Parallelogram
Rotated object detection is a challenging task in aerial images as the o...
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09/08/2021
RepNAS: Searching for Efficient Re-parameterizing Blocks
In the past years, significant improvements in the field of neural archi...
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06/11/2021
Pedestrian Attribute Recognition in Video Surveillance Scenarios Based on View-attribute Attention Localization
Pedestrian attribute recognition in surveillance scenarios is still a ch...
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03/19/2021
A Self-adaptive SAC-PID Control Approach based on Reinforcement Learning for Mobile Robots
Proportional-integral-derivative (PID) control is the most widely used i...
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11/10/2020
Stage-wise Channel Pruning for Model Compression
Auto-ML pruning methods aim at searching a pruning strategy automaticall...
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11/22/2019