One Fits Many Class Confusion Loss for Versatile Domain Adaptation

par Jin, Ying
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2024)

Omni-Training Bridging Pre-Training and Meta-Training for Few-Shot Learning

par Shu, Yang
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

From Big to Small Adaptive Learning to Partial-Set Domains

par Cao, Zhangjie
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

ModeRNN Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning

par Yao, Zhiyu
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

PredRNN A Recurrent Neural Network for Spatiotemporal Predictive Learning

par Wang, Yunbo
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

VideoDG Generalizing Temporal Relations in Videos to Novel Domains

par Yao, Zhiyu
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2022)

Fully Depleted Self-Aligned Heterosandwiched Van Der Waals Photodetectors

par Wang, Fang
Publié dans: Advanced materials (Deerfield Beach, Fla.) (2022)

Graphene Hybrid Structures for Integrated and Flexible Optoelectronics

par Chen, Xiaoqing
Publié dans: Advanced materials (Deerfield Beach, Fla.) (2020)

Air-Stable Low-Symmetry Narrow-Bandgap 2D Sulfide Niobium for Polarization Photodetection

par Wang, Yang
Publié dans: Advanced materials (Deerfield Beach, Fla.) (2020)

Transferable Representation Learning with Deep Adaptation Networks

par Long, Mingsheng
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2019)