标签：ICCV
Structured Visual Search via Composition-aware Learning
Structured Visual Search via Composition-aware Learning Mert Kilickaya, Arnold W.M. SmeuldersQUvA Lab, University of Amsterdamkilickayamert@gmail.com, a.w.m.smeulders@uva.nl ……
Improving Word Recognition using Multiple Hypotheses and Deep Embeddings
Improving Word Recognition using Multiple Hypotheses and Deep Embeddings Siddhant Bansal CVIT, IIIT, Hyderabad, Indiasiddhant.bansal@students.iiit.ac.in Praveen Krishn……
Viewing instance semantic segmentation as generative adversarial networks GAN Mask R-CNN: Instance semantic segmentation benefits from generative adversarial networks
Viewing instance semantic segmentation as generative adversarial networks Quang H. Le Kamal Youcef-Toumi Dzmitry Tsetserukou Ali Jahanian{quan……
Transcription Is All You Need: Learning to Separate Musical Mixtures with Score as Supervision
Transcription Is All You Need: Learning to Separate Musical Mixtures with Score as Supervision Abstract Most music source separation systems require large collections of isolat……
Adaptive Structured Sparse Network for Efficient CNNs with Feature Regularization
Adaptive Structured Sparse Network for Efficient CNNs with Feature Regularization Chen Tang* Wenyu Sun Zhuqing Yuan Guijin Wang Yongpan LiuDepartment of Electronic EngineeringTsi……
An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale
An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy∗,†, Lucas Beyer∗, Alexander Kolesnikov∗, Dirk Weis……
WaveTransformer: A Novel Architecture for Audio Captioning Based on Learning Temporal and Time-Frequency Information
WaveTransformer: A Novel Architecture for Audio Captioning Based on Learning Temporal and Time-Frequency Information An Tran, Konstantinos Drossos, and Tuomas VirtanenAudio Resea……
UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks
UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks Weikai Tan, Dedong Zhang, Lingfei Ma, Ying Li, Lanying Wang, and Jonathan Li,&……
Investigating Cross-Domain Losses for Speech Enhancement
Investigating Cross-Domain Losses for Speech Enhancement Abstract Recent years have seen a surge in the number of available frameworks for speech enhancement (SE) and recogniti……