398 citations · 766 across the 26 of their papers we have counts for
12 papers · 1 filter
MicroNet: Towards Image Recognition with Extremely Low FLOPs
Yunsheng Li, Yinpeng Chen, Xiyang Dai +6
In this paper, we present MicroNet, which is an efficient convolutional neural network using extremely low computational cost (e.g. 6 MFLOPs on ImageNet classification). Such a low…
Learning Representations from Audio-Visual Spatial Alignment
Pedro Morgado, Yi Li, Nuno Vasconcelos
We introduce a novel self-supervised pretext task for learning representations from audio-visual content. Prior work on audio-visual representation learning leverages correspondenc…
Contrastive Learning with Adversarial Examples
Chih-Hui Ho, Nuno Vasconcelos
Contrastive learning (CL) is a popular technique for self-supervised learning (SSL) of visual representations. It uses pairs of augmentations of unlabeled training examples to defi…
Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings
Pedro Morgado, Yunsheng Li, Jose Costa Pereira +2
Image hash codes are produced by binarizing the embeddings of convolutional neural networks (CNN) trained for either classification or retrieval. While proxy embeddings achieve goo…
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
Tz-Ying Wu, Pedro Morgado, Pei Wang +2
Long-tail recognition tackles the natural non-uniformly distributed data in real-world scenarios. While modern classifiers perform well on populated classes, its performance degrad…
Few-Shot Open-Set Recognition using Meta-Learning
Bo Liu, Hao Kang, Haoxiang Li +2
The problem of open-set recognition is considered. While previous approaches only consider this problem in the context of large-scale classifier training, we seek a unified solutio…