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07/11/2023
Unleashing the Potential of Regularization Strategies in Learning with Noisy Labels
In recent years, research on learning with noisy labels has focused on d...
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12/07/2022
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels
Convolutional Neural Networks (CNNs) have demonstrated superiority in le...
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11/21/2022
Cross-Modal Contrastive Learning for Robust Reasoning in VQA
Multi-modal reasoning in visual question answering (VQA) has witnessed r...
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07/05/2022
CNN-based Local Vision Transformer for COVID-19 Diagnosis
Deep learning technology can be used as an assistive technology to help ...
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07/04/2022
Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis
Coronavirus Disease 2019 (COVID-19) has spread globally and become a hea...
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06/21/2022
Bypass Network for Semantics Driven Image Paragraph Captioning
Image paragraph captioning aims to describe a given image with a sequenc...
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06/04/2022
MSR: Making Self-supervised learning Robust to Aggressive Augmentations
Most recent self-supervised learning methods learn visual representation...
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05/28/2022
Visual Superordinate Abstraction for Robust Concept Learning
Concept learning constructs visual representations that are connected to...
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05/14/2022
Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging
Modern data-driven machine learning research that enables revolutionary ...
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10/14/2021
Video-based cattle identification and action recognition
We demonstrate a working prototype for the monitoring of cow welfare by ...
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01/16/2020
PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting
Crowd counting, i.e., estimating the number of people in a crowded area,...
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04/19/2018
A-CCNN: adaptive ccnn for density estimation and crowd counting
Crowd counting, for estimating the number of people in a crowd using vis...
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04/19/2018
A-cCCNN: adaptive ccnn for density estimation and crowd counting
Crowd counting, for estimating the number of people in a crowd using vis...
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03/03/2018