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11/17/2022
DETRDistill: A Universal Knowledge Distillation Framework for DETR-families
Transformer-based detectors (DETRs) have attracted great attention due t...
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07/04/2022
TANet: Transformer-based Asymmetric Network for RGB-D Salient Object Detection
Existing RGB-D SOD methods mainly rely on a symmetric two-stream CNN-bas...
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03/03/2022
CAFE: Learning to Condense Dataset by Aligning Features
Dataset condensation aims at reducing the network training effort throug...
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01/25/2022
Large-scale Deterministic Transmission among IEEE 802.1Qbv Time-Sensitive Networks
IEEE 802.1Qbv (TAS) is the most widely used technique in Time-Sensitive ...
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04/24/2021
CFNet: LiDAR-Camera Registration Using Calibration Flow Network
As an essential procedure of data fusion, LiDAR-camera calibration is cr...
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01/10/2020
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models
Transfer learning, that transfer the learned knowledge of pre-trained Te...
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06/28/2019
