Imagen de Portada

Divide-and-Conquer Approach to Holistic Cognition in High-Similarity Contexts with Limited Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Shijie, Wang, Zijian, Luo, Yadan, Li, Haojie, Huang, Zi, Baktashmotlagh, Mahsa
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Geometry-Guided Self-Supervision for Ultra-Fine-Grained Recognition with Limited Data
por: Wang, Shijie, et al.
Publicado: (2026)

Color-Oriented Redundancy Reduction in Dataset Distillation
por: Yuan, Bowen, et al.
Publicado: (2024)

Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation
por: Wang, Shijie, et al.
Publicado: (2026)

WisWheat: A Three-Tiered Vision-Language Dataset for Wheat Management
por: Yuan, Bowen, et al.
Publicado: (2025)

Learning to Align Generative Appearance Priors for Fine-grained Image Retrieval
por: Wang, Shijie, et al.
Publicado: (2026)

DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
por: Lim, Jia Syuen, et al.
Publicado: (2024)

Language-driven Fine-grained Retrieval
por: Wang, Shijie, et al.
Publicado: (2025)

MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
por: Chen, Zhuoxiao, et al.
Publicado: (2024)

SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
por: Yuan, Bowen, et al.
Publicado: (2025)

Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation
por: Khoba, Prafful Kumar, et al.
Publicado: (2025)

Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
por: Guo, Kaiyu, et al.
Publicado: (2025)

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification
por: Tian, Yuan, et al.
Publicado: (2025)

Learning Efficient Unsupervised Satellite Image-based Building Damage Detection
por: Zhang, Yiyun, et al.
Publicado: (2023)

MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation
por: Wang, Yanhui, et al.
Publicado: (2023)

Divide and Conquer: Reliable Multi-View Evidential Learning for Deepfake Detection
por: Kang, Xiaolu, et al.
Publicado: (2026)

Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models
por: Wang, Wenbin, et al.
Publicado: (2024)

Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension
por: Xu, Haoran, et al.
Publicado: (2026)

Source-Free Domain-Invariant Performance Prediction
por: Khramtsova, Ekaterina, et al.
Publicado: (2024)

Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation
por: Wang, Zhenyu, et al.
Publicado: (2024)

Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
por: Cong, Runmin, et al.
Publicado: (2025)

Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models
por: Xiao, Junyuan, et al.
Publicado: (2026)

Open-CRB: Towards Open World Active Learning for 3D Object Detection
por: Chen, Zhuoxiao, et al.
Publicado: (2023)

VGGT-World: Transforming VGGT into an Autoregressive Geometry World Model
por: Sun, Xiangyu, et al.
Publicado: (2026)

FastEdit: Fast Text-Guided Single-Image Editing via Semantic-Aware Diffusion Fine-Tuning
por: Chen, Zhi, et al.
Publicado: (2024)

Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation
por: Zhao, Xingyue, et al.
Publicado: (2025)

DC-Net: Divide-and-Conquer for Salient Object Detection
por: Zhu, Jiayi, et al.
Publicado: (2023)

DCA: Dividing and Conquering Amnesia in Incremental Object Detection
por: Zhang, Aoting, et al.
Publicado: (2025)

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer
por: Hu, Jin, et al.
Publicado: (2024)

Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery
por: Tu, Yuanpeng, et al.
Publicado: (2024)

SD-MAD: Sign-Driven Few-shot Multi-Anomaly Detection in Medical Images
por: Guo, Kaiyu, et al.
Publicado: (2025)

A Divide-and-Conquer Approach for Global Orientation of Non-Watertight Scene-Level Point Clouds Using 0-1 Integer Optimization
por: Li, Zhuodong, et al.
Publicado: (2025)

Distributed Zero-Shot Learning for Visual Recognition
por: Chen, Zhi, et al.
Publicado: (2025)

MERG3R: A Divide-and-Conquer Approach to Large-Scale Neural Visual Geometry
por: Cheng, Leo Kaixuan, et al.
Publicado: (2026)

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization
por: Wang, Shijie, et al.
Publicado: (2025)

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue
por: Cai, Shuo, et al.
Publicado: (2025)

DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection
por: Chen, Zhuoxiao, et al.
Publicado: (2024)

Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble
por: Rolih, Blaž, et al.
Publicado: (2024)

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
por: Wang, Chong, et al.
Publicado: (2024)

Divide-and-Conquer Inference for Large-Scale Visual Recognition with Multimodal Large Language Models
por: Ye, Zhipeng, et al.
Publicado: (2026)

PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation
por: Xiong, Xinyu, et al.
Publicado: (2025)