Recommender systems play a significant role in information filtering and have been utilized in different scenarios, such as e-commerce and social media. With the prosperity of deep …
Z Zhao, H Bai, J Zhang, Y Zhang, S Xu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Multi-modality (MM) image fusion aims to render fused images that maintain the merits of different modalities, eg, functional highlight and detailed textures. To tackle the challenge in …
The recently proposed camouflaged object detection (COD) attempts to segment objects that are visually blended into their surroundings, which is extremely complex and difficult in real …
Z Zhao, H Bai, Y Zhu, J Zhang, S Xu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Multi-modality image fusion aims to combine different modalities to produce fused images that retain the complementary features of each modality, such as functional highlights and …
Y Zhang, H Liu, Q Hu - Medical image computing and computer assisted …, 2021 - Springer
Medical image segmentation-the prerequisite of numerous clinical needs-has been significantly prospered by recent advances in convolutional neural networks (CNNs) …
N Liu, N Zhang, K Wan, L Shao… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Existing state-of-the-art saliency detection methods heavily rely on CNN-based architectures. Alternatively, we rethink this task from a convolution-free sequence-to …
Data is the driving force of machine learning, with the amount and quality of training data often being more important for the performance of a system than architecture and training …
Camouflaged object detection (COD) aims to identify objects that are perfectly embedded in their environment, which has various downstream applications in fields such as medicine …
X Jia, P Wu, L Chen, J Xie, C He… - Proceedings of the …, 2023 - openaccess.thecvf.com
End-to-end autonomous driving has made impressive progress in recent years. Existing methods usually adopt the decoupled encoder-decoder paradigm, where the encoder …