:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Ruiyuan, Chen, Yuyao, Huo, Yuchi, Liu, Jiaxiang, Xi, Dianbing, Liu, Jie, Wu, Chao
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	https://arxiv.org/abs/2410.03778
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly
di: Zhang, Ruiyuan, et al.
Pubblicazione: (2025)

PFAvatar: Pose-Fusion 3D Personalized Avatar Reconstruction from Real-World Outfit-of-the-Day Photos
di: Xi, Dianbing, et al.
Pubblicazione: (2025)

Inverse Rendering using Multi-Bounce Path Tracing and Reservoir Sampling
di: Dai, Yuxin, et al.
Pubblicazione: (2024)

Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task
di: Liu, Jie, et al.
Pubblicazione: (2024)

OmniVDiff: Omni Controllable Video Diffusion for Generation and Understanding
di: Xi, Dianbing, et al.
Pubblicazione: (2025)

Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales
di: Qi, Shuren, et al.
Pubblicazione: (2024)

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

Frequency Switching Mechanism for Parameter-E!cient Multi-Task Learning
di: Liu, Shih-Wen, et al.
Pubblicazione: (2026)

Sample-Centric Multi-Task Learning for Detection and Segmentation of Industrial Surface Defects
di: Dong, Hang-Cheng, et al.
Pubblicazione: (2025)

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

Prismer: A Vision-Language Model with Multi-Task Experts
di: Liu, Shikun, et al.
Pubblicazione: (2023)

VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text
di: Zhang, Tianyu, et al.
Pubblicazione: (2024)

Quantifying Task Priority for Multi-Task Optimization
di: Jeong, Wooseong, et al.
Pubblicazione: (2024)

Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers
di: Zhang, Ruiyuan, et al.
Pubblicazione: (2023)

Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning
di: Wang, Zedong, et al.
Pubblicazione: (2025)

Task-Driven Subspace Decomposition for Knowledge Sharing and Isolation in LoRA-based Continual Learning
di: He, Lingfeng, et al.
Pubblicazione: (2026)

A Survey on Deep Multi-Task Learning in Connected Autonomous Vehicles
di: Wang, Jiayuan, et al.
Pubblicazione: (2025)

Synthesizer Based Efficient Self-Attention for Vision Tasks
di: Zhu, Guangyang, et al.
Pubblicazione: (2022)

Task-based Loss Functions in Computer Vision: A Comprehensive Review
di: Elharrouss, Omar, et al.
Pubblicazione: (2025)

Remote Sensing Image Segmentation Using Vision Mamba and Multi-Scale Multi-Frequency Feature Fusion
di: Cao, Yice, et al.
Pubblicazione: (2024)

AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks
di: Yang, Zekang, et al.
Pubblicazione: (2024)

Learning to Rank Pre-trained Vision-Language Models for Downstream Tasks
di: Ding, Yuhe, et al.
Pubblicazione: (2024)

Multi-instance Learning as Downstream Task of Self-Supervised Learning-based Pre-trained Model
di: Matsuishi, Koki, et al.
Pubblicazione: (2025)

Joint-Task Regularization for Partially Labeled Multi-Task Learning
di: Nishi, Kento, et al.
Pubblicazione: (2024)

Gradient Similarity Surgery in Multi-Task Deep Learning
di: Borsani, Thomas, et al.
Pubblicazione: (2025)

Understanding Task Transfer in Vision-Language Models
di: Sachdeva, Bhuvan, et al.
Pubblicazione: (2025)

DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
di: Cui, Wei, et al.
Pubblicazione: (2025)

INTERACT-CMIL: Multi-Task Shared Learning and Inter-Task Consistency for Conjunctival Melanocytic Intraepithelial Lesion Grading
di: Ikinci, Mert, et al.
Pubblicazione: (2025)

Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions
di: Borazjani, Kasra, et al.
Pubblicazione: (2025)

Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks
di: Guruprasad, Pranav, et al.
Pubblicazione: (2024)

Multi-Dataset Multi-Task Learning for COVID-19 Prognosis
di: Ruffini, Filippo, et al.
Pubblicazione: (2024)

Task-Aware Multi-Expert Architecture For Lifelong Deep Learning
di: Wang, Jianyu, et al.
Pubblicazione: (2025)

Multi-Task Learning for Visually Grounded Reasoning in Gastrointestinal VQA
di: Safwan, Itbaan, et al.
Pubblicazione: (2025)

Leveraging Vision Language Models for Specialized Agricultural Tasks
di: Arshad, Muhammad Arbab, et al.
Pubblicazione: (2024)

When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review
di: Fontana, Maxime, et al.
Pubblicazione: (2023)

GFPL: Generative Federated Prototype Learning for Resource-Constrained and Data-Imbalanced Vision Task
di: Lu, Shiwei, et al.
Pubblicazione: (2026)

OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems
di: Wang, Xiangming, et al.
Pubblicazione: (2024)

The Unified Balance Theory of Second-Moment Exponential Scaling Optimizers in Visual Tasks
di: Zhang, Gongyue, et al.
Pubblicazione: (2024)

Advancing Vision-based Human Action Recognition: Exploring Vision-Language CLIP Model for Generalisation in Domain-Independent Tasks
di: Shandilya, Utkarsh, et al.
Pubblicazione: (2025)

GCond: Gradient Conflict Resolution via Accumulation-based Stabilization for Large-Scale Multi-Task Learning
di: Limarenko, Evgeny Alves, et al.
Pubblicazione: (2025)