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05/11/2023
Convolutional Neural Networks Rarely Learn Shape for Semantic Segmentation
Shape learning, or the ability to leverage shape information, could be a...
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04/20/2023
Segment Anything Model for Medical Image Analysis: an Experimental Study
Training segmentation models for medical images continues to be challeng...
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03/18/2023
Mutilmodal Feature Extraction and Attention-based Fusion for Emotion Estimation in Videos
The continuous improvement of human-computer interaction technology make...
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04/28/2022
Who will stay? Using Deep Learning to predict engagement of citizen scientists
Citizen science and machine learning should be considered for monitoring...
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02/06/2022
Low-confidence Samples Matter for Domain Adaptation
Domain adaptation (DA) aims to transfer knowledge from a label-rich sour...
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12/13/2021
5th Place Solution for VSPW 2021 Challenge
In this article, we introduce the solution we used in the VSPW 2021 Chal...
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11/11/2021
Semantic-aware Representation Learning Via Probability Contrastive Loss
Recent feature contrastive learning (FCL) has shown promising performanc...
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05/04/2021
Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments
Performing autonomous exploration is essential for unmanned aerial vehic...
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09/17/2019
Blockchain of Signature Material Combining Cryptographic Hash Function and DNA Steganography
An ideal signature material and method, which can be used to prove the a...
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10/07/2018
