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09/07/2023
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm
In intent detection tasks, leveraging meaningful semantic information fr...
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11/20/2022
Spectral Adversarial Training for Robust Graph Neural Network
Recent studies demonstrate that Graph Neural Networks (GNNs) are vulnera...
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05/30/2022
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection
There are two critical sensors for 3D perception in autonomous driving, ...
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05/27/2022
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
Fusing the camera and LiDAR information has become a de-facto standard f...
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04/01/2022
Multifaceted Improvements for Conversational Open-Domain Question Answering
Open-domain question answering (OpenQA) is an important branch of textua...
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07/01/2021
CBNetV2: A Composite Backbone Network Architecture for Object Detection
Consistent performance gains through exploring more effective network st...
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03/08/2021
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
Recently, neural architecture search (NAS) has been exploited to design ...
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10/05/2020
Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks
Mixup is the latest data augmentation technique that linearly interpolat...
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05/23/2020
Joint Training Capsule Network for Cold Start Recommendation
This paper proposes a novel neural network, joint training capsule netwo...
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01/19/2020
MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recogntion
To efficiently extract spatiotemporal features of video for action recog...
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12/20/2019
MFPN: A Novel Mixture Feature Pyramid Network of Multiple Architectures for Object Detection
Feature pyramids are widely exploited in many detectors to solve the sca...
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09/09/2019
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
In existing CNN based detectors, the backbone network is a very importan...
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09/11/2017