Browsing by Author "Ta, Duc Huy"
Now showing items 1-5 of 5
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Adaptive Proxy Anchor Loss for Deep Metric Learning
(2022-10)Deep metric learning (or simply called metric learning) uses the deep neural network to learn the representation of images, leading to widely used in many applications, e.g. image retrieval and face recognition. In the ... -
Diffeomorphism matching for fast unsupervised pretraining on radiographs
(2020)Unsupervised pretraining is an approach that leverages a large unlabeled data pool to learn data features. However, it requires billion-scale datasets and a month-long training time to surpass its supervised counterpart ... -
Improving local features with relevant spatial information by vision transformer for crowd counting
(2022)Vision Transformer (ViT) variants have demonstrated state-of-the-art performances in plenty of computer vision benchmarks, including crowd counting. Although Transformer-based models have shown breakthroughs in crowd ... -
LOGOVIT: Local-global vision transformer for object re-identification
(2023-06)Object re-identification (ReID) is prone to errors under variations in scale, illumination, complex background, and object occlusion scenarios. To overcome these challenges, attention mechanisms are employed to concentrate ... -
Revisiting reverse distillation for anomaly detection
(2023)Anomaly detection is an important application in large-scale industrial manufacturing. Recent methods for this task have demonstrated excellent accuracy but come with a latency trade-off. Memory based approaches with ...
