Chongqing
On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance
Although this problem is significant for safer and smarter driving systems, the exploration of this problem remains limited.
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- Asia > China > Guangxi Province > Nanning (0.04)
- Asia > China > Chongqing Province > Chongqing (0.04)
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- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Performance Analysis (0.46)
UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior Y ao Wu
The essence of simultaneously solving cross-domain tasks is to enhance the general-izability of the encoder.
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- North America > United States (0.15)
- Asia > China > Fujian Province > Xiamen (0.04)
- Asia > China > Chongqing Province > Chongqing (0.04)
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- Information Technology (1.00)
- Transportation > Ground (0.46)
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- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Natural Language (0.93)
- Information Technology > Sensing and Signal Processing (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
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- Asia > Singapore (0.04)
- Asia > China > Chongqing Province > Chongqing (0.04)
- North America > United States (0.04)
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- North America > Canada > Ontario > Toronto (0.14)
- Asia > China > Chongqing Province > Chongqing (0.04)
- Asia > China > Beijing > Beijing (0.04)
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- North America > United States > Massachusetts > Middlesex County > Cambridge (0.14)
- Asia > Singapore (0.04)
- Asia > Middle East > Jordan (0.04)
- Asia > China > Chongqing Province > Chongqing (0.04)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
Learning and Processing the Ordinal Information of Temporal Sequences in Recurrent Neural Circuits
Temporal sequence processing is fundamental in brain cognitive functions.
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On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
Estimating the generalization performance is practically challenging on out-of-distribution (OOD) data without ground-truth labels.
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STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning
Recently, model-based reinforcement learning algorithms have demonstrated remarkable efficacy in visual input environments.
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Technology:
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)