Cover Image

Cluster-Aware Similarity Diffusion for Instance Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Jifei, Yao, Hantao, Xu, Changsheng
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dual Cluster Contrastive learning for Object Re-Identification
by: Yao, Hantao, et al.
Published: (2021)

Locality Preserving Markovian Transition for Instance Retrieval
by: Luo, Jifei, et al.
Published: (2025)

TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model
by: Yao, Hantao, et al.
Published: (2023)

Instance-Aware Group Quantization for Vision Transformers
by: Moon, Jaehyeon, et al.
Published: (2024)

Pairwise Similarity Distribution Clustering for Noisy Label Learning
by: Bai, Sihan
Published: (2024)

Measuring Style Similarity in Diffusion Models
by: Somepalli, Gowthami, et al.
Published: (2024)

Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion
by: Wei, Tianyi, et al.
Published: (2024)

Unlearning the Unpromptable: Prompt-free Instance Unlearning in Diffusion Models
by: Lee, Kyungryeol, et al.
Published: (2026)

InstanceDiffusion: Instance-level Control for Image Generation
by: Wang, Xudong, et al.
Published: (2024)

Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition
by: Zuo, Yukun, et al.
Published: (2024)

Trend-Aware Fashion Recommendation with Visual Segmentation and Semantic Similarity
by: Djilani, Mohamed, et al.
Published: (2025)

Beyond Visual Similarity: Rule-Guided Multimodal Clustering with explicit domain rules
by: Gupta, Kishor Datta, et al.
Published: (2025)

Federated Learning with Instance-Dependent Noisy Label
by: Wang, Lei, et al.
Published: (2023)

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images
by: Menn, Dennis, et al.
Published: (2024)

Disentanglement-Based Equivariant Learning for Compositional VQA
by: Du, Zhou, et al.
Published: (2026)

Mitigating Instance Entanglement in Instance-Dependent Partial Label Learning
by: Zhao, Rui, et al.
Published: (2026)

Contrastive Learning Is Spectral Clustering On Similarity Graph
by: Tan, Zhiquan, et al.
Published: (2023)

Set2Seq Transformer: Temporal and Position-Aware Set Representations for Sequential Multiple-Instance Learning
by: Efthymiou, Athanasios, et al.
Published: (2024)

Mask Approximation Net: A Novel Diffusion Model Approach for Remote Sensing Change Captioning
by: Sun, Dongwei, et al.
Published: (2024)

Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval
by: Yuan, Xu, et al.
Published: (2023)

Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models
by: Zhang, Xinxi, et al.
Published: (2024)

Text-Aware Diffusion for Policy Learning
by: Luo, Calvin, et al.
Published: (2024)

Reason, Retrieve, Re-rank: A Zero-Shot Reasoning-Aware Framework for Composed Video Retrieval
by: Alavi, Ali
Published: (2026)

3D-Aware Instance Segmentation and Tracking in Egocentric Videos
by: Bhalgat, Yash, et al.
Published: (2024)

Low-Rank Similarity Mining for Multimodal Dataset Distillation
by: Xu, Yue, et al.
Published: (2024)

Structured Generations: Using Hierarchical Clusters to guide Diffusion Models
by: Goncalves, Jorge da Silva, et al.
Published: (2024)

DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval
by: Yang, Ruohong, et al.
Published: (2025)

SEP: Self-Enhanced Prompt Tuning for Visual-Language Model
by: Yao, Hantao, et al.
Published: (2024)

Hierarchical Prompts for Rehearsal-free Continual Learning
by: Zuo, Yukun, et al.
Published: (2024)

Language Guided Concept Bottleneck Models for Interpretable Continual Learning
by: Yu, Lu, et al.
Published: (2025)

Dataset Enhancement with Instance-Level Augmentations
by: Kupyn, Orest, et al.
Published: (2024)

TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction
by: Qingze, et al.
Published: (2024)

Similarity-Dissimilarity Loss for Multi-label Supervised Contrastive Learning
by: Huang, Guangming, et al.
Published: (2024)

Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering
by: Wang, Peng, et al.
Published: (2024)

Variance-Aware Adaptive Weighting for Diffusion Model Training
by: Sun, Nanlong, et al.
Published: (2026)

Environment-Aware Satellite Image Generation with Diffusion Models
by: Kostagiolas, Nikos, et al.
Published: (2025)

Dependency-Aware Discrete Diffusion for Scene Graph Generation
by: Rajagopalan, Rajalaxmi, et al.
Published: (2026)

Learning to Transform for Generalizable Instance-wise Invariance
by: Singhal, Utkarsh, et al.
Published: (2023)

Training-Free Dataset Pruning for Instance Segmentation
by: Dai, Yalun, et al.
Published: (2025)

INSTA-YOLO: Real-Time Instance Segmentation
by: Mohamed, Eslam, et al.
Published: (2021)