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08/01/2023
Center Contrastive Loss for Metric Learning
Contrastive learning is a major studied topic in metric learning. Howeve...
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03/19/2021
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning
Momentum Contrast (MoCo) achieves great success for unsupervised visual ...
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11/18/2020
UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
Object detection with transformers (DETR) reaches competitive performanc...
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05/14/2019
Listwise View Ranking for Image Cropping
Rank-based Learning with deep neural network has been widely used for im...
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04/23/2019
BIT: Biologically Inspired Tracker
Visual tracking is challenging due to image variations caused by various...
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12/04/2017
Learning Reduced-Resolution and Super-Resolution Networks in Synch
Recent studies have shown that deep convolutional neural networks achiev...
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06/25/2017
Flexible Rectified Linear Units for Improving Convolutional Neural Networks
Rectified linear unit (ReLU) is a widely used activation function for de...
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05/15/2017
Single Image Super-Resolution Using Multi-Scale Convolutional Neural Network
Methods based on convolutional neural network (CNN) have demonstrated tr...
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02/08/2017
Multi-scale Convolutional Neural Networks for Crowd Counting
Crowd counting on static images is a challenging problem due to scale va...
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01/28/2016