:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Yang, Pan, Hongpeng, Jiang, Qing-Yuan, Xu, Yi, Tang, Jinghui
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2404.08347
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multimodal Classification via Modal-Aware Interactive Enhancement
by: Jiang, Qing-Yuan, et al.
Published: (2024)

Solution for Point Tracking Task of ICCV 1st Perception Test Challenge 2023
by: Pan, Hongpeng, et al.
Published: (2024)

MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection
by: Nezakati, Niki, et al.
Published: (2024)

Routing the Lottery: Adaptive Subnetworks for Heterogeneous Data
by: Stefanski, Grzegorz, et al.
Published: (2026)

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation
by: Zhang, Zhe, et al.
Published: (2026)

Enhancing SNN-based Spatio-Temporal Learning: A Benchmark Dataset and Cross-Modality Attention Model
by: Zhou, Shibo, et al.
Published: (2024)

Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-Spoofing
by: Lin, Xun, et al.
Published: (2024)

Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance
by: Qu, Mingcheng, et al.
Published: (2025)

Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization
by: Guo, Han, et al.
Published: (2024)

Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering
by: Xu, Jie, et al.
Published: (2021)

Supervised Multi-Modal Fission Learning
by: Mao, Lingchao, et al.
Published: (2024)

Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models
by: Matos, Ivan Luiz De Moura, et al.
Published: (2026)

Continual Learning: Forget-free Winning Subnetworks for Video Representations
by: Kang, Haeyong, et al.
Published: (2023)

PROMISE: Prompt-Attentive Hierarchical Contrastive Learning for Robust Cross-Modal Representation with Missing Modalities
by: Chen, Jiajun, et al.
Published: (2025)

Robust Federated Learning against Noisy Clients via Masked Optimization
by: Jiang, Xuefeng, et al.
Published: (2025)

LUMEN: Longitudinal Multi-Modal Radiology Model for Prognosis and Diagnosis
by: Jiang, Zhifan, et al.
Published: (2026)

MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning
by: Xu, Yi, et al.
Published: (2025)

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs
by: Hu, Jiacheng, et al.
Published: (2024)

Mask-informed Deep Contrastive Incomplete Multi-view Clustering
by: Li, Zhenglai, et al.
Published: (2025)

DAAL: Density-Aware Adaptive Line Margin Loss for Multi-Modal Deep Metric Learning
by: Gebrerufael, Hadush Hailu, et al.
Published: (2024)

Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
by: Tang, Bohan, et al.
Published: (2022)

AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning
by: Yang, Enneng, et al.
Published: (2022)

Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning
by: Su, Shangchao, et al.
Published: (2022)

TDEC: Deep Embedded Image Clustering with Transformer and Distribution Information
by: Zhang, Ruilin, et al.
Published: (2026)

Modality Unified Attack for Omni-Modality Person Re-Identification
by: Bian, Yuan, et al.
Published: (2025)

Unveiling Incomplete Modality Brain Tumor Segmentation: Leveraging Masked Predicted Auto-Encoder and Divergence Learning
by: Sun, Zhongao, et al.
Published: (2024)

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
by: Wang, Hu, et al.
Published: (2023)

AdapMTL: Adaptive Pruning Framework for Multitask Learning Model
by: Xiang, Mingcan, et al.
Published: (2024)

Two-Step Data Augmentation for Masked Face Detection and Recognition: Turning Fake Masks to Real
by: Yang, Yan, et al.
Published: (2025)

A Generalization Theory of Cross-Modality Distillation with Contrastive Learning
by: Lin, Hangyu, et al.
Published: (2024)

AdaMerging: Adaptive Model Merging for Multi-Task Learning
by: Yang, Enneng, et al.
Published: (2023)

DiffusionX: Efficient Edge-Cloud Collaborative Image Generation with Multi-Round Prompt Evolution
by: Wei, Yi, et al.
Published: (2025)

BMIP: Bi-directional Modality Interaction Prompt Learning for VLM
by: Lv, Song-Lin, et al.
Published: (2025)

Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection
by: Fan, Yunfeng, et al.
Published: (2023)

SARMAE: Masked Autoencoder for SAR Representation Learning
by: Liu, Danxu, et al.
Published: (2025)

One-Cycle Structured Pruning via Stability-Driven Subnetwork Search
by: Ghimire, Deepak, et al.
Published: (2025)

Masked Generative Transformer Is What You Need for Image Editing
by: Chow, Wei, et al.
Published: (2026)

One-step Multi-view Clustering With Adaptive Low-rank Anchor-graph Learning
by: Xue, Zhiyuan, et al.
Published: (2025)

A Diversity-optimized Deep Ensemble Approach for Accurate Plant Leaf Disease Detection
by: Medikonduru, Sai Nath Chowdary, et al.
Published: (2025)

An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions
by: Lin, Fudong, et al.
Published: (2024)