Multi-Level Contextual Prototype Modulation for Compositional Zero-Shot Learning

von Liu, Yang
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2025)

Cross-Modality Distillation for Multi-modal Tracking

von Zhang, Tianlu
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2025)

Addressing Inconsistent Labeling With Cross Image Matching for Scribble-Based Medical Image Segmentation

von Chen, Jingkun
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2025)

Raformer Redundancy-Aware Transformer for Video Wire Inpainting

von Ji, Zhong
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2025)

LIPT Latency-Aware Image Processing Transformer

von Qiao, Junbo
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2025)

Frequency-Spatial Complementation Unified Channel-Specific Style Attack for Cross-Domain Few-Shot Learning

von Ji, Zhong
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2025)

CAIT Triple-Win Compression Towards High Accuracy, Fast Inference, and Favorable Transferability for ViTs

von Wang, Ao
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2025)

Balancing Feature Alignment and Uniformity for Few-Shot Classification

von Yu, Yunlong
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2025)

Fixing Background Misclassification in Few-Shot Object Detection via Product of Experts

von Ong, Ding Sheng
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2025)

Virtual Category Learning A Semi-Supervised Learning Method for Dense Prediction With Extremely Limited Labels

von Chen, Changrui
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2024)

Model Attention Expansion for Few-Shot Class-Incremental Learning

von Wang, Xuan
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2024)

Exploring Multi-Modal Spatial-Temporal Contexts for High-Performance RGB-T Tracking

von Zhang, Tianlu
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2024)

Salient Object Detection From Arbitrary Modalities

von Huang, Nianchang
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2024)

Middle-Level Feature Fusion for Lightweight RGB-D Salient Object Detection

von Huang, Nianchang
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2022)

Part-Object Relational Visual Saliency

von Liu, Yi
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2022)

Information Symmetry Matters A Modal-Alternating Propagation Network for Few-Shot Learning

von Ji, Zhong
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2022)

Disentangled Capsule Routing for Fast Part-Object Relational Saliency

von Liu, Yi
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2022)

Learning Transformation-Invariant Local Descriptors With Low-Coupling Binary Codes

von Miao, Yunqi
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2021)

Where to Prune Using LSTM to Guide Data-Dependent Soft Pruning

von Ding, Guiguang
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2021)

On Aggregation of Unsupervised Deep Binary Descriptor with Weak Bits

von Wu, Gengshen
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2020)