Cover Image

LDA-AQU: Adaptive Query-guided Upsampling via Local Deformable Attention

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Du, Zewen, Hu, Zhenjiang, Zhao, Guiyu, Jin, Ying, Ma, Hongbin
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial Images
by: Du, Zewen, et al.
Published: (2024)

VRHCF: Cross-Source Point Cloud Registration via Voxel Representation and Hierarchical Correspondence Filtering
by: Zhao, Guiyu, et al.
Published: (2024)

Cross-PCR: A Robust Cross-Source Point Cloud Registration Framework
by: Zhao, Guiyu, et al.
Published: (2024)

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving
by: Chen, Chuang, et al.
Published: (2025)

AnyUp: Universal Feature Upsampling
by: Wimmer, Thomas, et al.
Published: (2025)

Attribution Upsampling should Redistribute, Not Interpolate
by: Buono, Vincenzo, et al.
Published: (2026)

SGOR: Outlier Removal by Leveraging Semantic and Geometric Information for Robust Point Cloud Registration
by: Zhao, Guiyu, et al.
Published: (2024)

Deep Attention-guided Adaptive Subsampling
by: Shankaranarayana, Sharath M, et al.
Published: (2025)

Rethinking Data Input for Point Cloud Upsampling
by: Zhang, Tongxu
Published: (2024)

Adaptive Guided Upsampling for Low-light Image Enhancement
by: Dcosta, Angela Vivian, et al.
Published: (2025)

CASPFormer: Trajectory Prediction from BEV Images with Deformable Attention
by: Yadav, Harsh, et al.
Published: (2024)

Beyond Uniform Query Distribution: Key-Driven Grouped Query Attention
by: Khan, Zohaib, et al.
Published: (2024)

QUILL: An Algorithm-Architecture Co-Design for Cache-Local Deformable Attention
by: Oh, Hyunwoo, et al.
Published: (2025)

Benchmarking the Fairness of Image Upsampling Methods
by: Laszkiewicz, Mike, et al.
Published: (2024)

QuARI: Query Adaptive Retrieval Improvement
by: Xing, Eric, et al.
Published: (2025)

UDPM: Upsampling Diffusion Probabilistic Models
by: Abu-Hussein, Shady, et al.
Published: (2023)

Adaptive Transformer Attention and Multi-Scale Fusion for Spine 3D Segmentation
by: Xiang, Yanlin, et al.
Published: (2025)

Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection Transformer
by: Lee, Hakjin, et al.
Published: (2023)

LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos
by: Wang, Ying, et al.
Published: (2023)

Benchmarking Feature Upsampling Methods for Vision Foundation Models using Interactive Segmentation
by: Havrylov, Volodymyr, et al.
Published: (2025)

Local Attention Transformers for High-Detail Optical Flow Upsampling
by: Gielisse, Alexander, et al.
Published: (2024)

GAUDA: Generative Adaptive Uncertainty-guided Diffusion-based Augmentation for Surgical Segmentation
by: Frisch, Yannik, et al.
Published: (2025)

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation
by: He, Yuhao, et al.
Published: (2025)

DAGLFNet: Deep Feature Attention Guided Global and Local Feature Fusion for Pseudo-Image Point Cloud Segmentation
by: Chen, Chuang, et al.
Published: (2025)

Adaptive Slot Attention: Object Discovery with Dynamic Slot Number
by: Fan, Ke, et al.
Published: (2024)

SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity
by: Ma, Ke, et al.
Published: (2025)

Delta Attention Residuals
by: Luo, Cheng, et al.
Published: (2026)

Masked Multi-Query Slot Attention for Unsupervised Object Discovery
by: Pramanik, Rishav, et al.
Published: (2024)

Attention-based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine from MR Images
by: Qian, Linchen, et al.
Published: (2024)

LAPA: Log-Domain Prediction-Driven Dynamic Sparsity Accelerator for Transformer Model
by: Wang, Huizheng, et al.
Published: (2025)

SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
by: Zhang, Jintao, et al.
Published: (2026)

Classifier-guided Gradient Modulation for Enhanced Multimodal Learning
by: Guo, Zirun, et al.
Published: (2024)

A Novel Convolution and Attention Mechanism-based Model for 6D Object Pose Estimation
by: Du, Alexander, et al.
Published: (2024)

ELMO: Enhanced Real-time LiDAR Motion Capture through Upsampling
by: Jang, Deok-Kyeong, et al.
Published: (2024)

SADA: Stability-guided Adaptive Diffusion Acceleration
by: Jiang, Ting, et al.
Published: (2025)

LetheViT: Selective Machine Unlearning for Vision Transformers via Attention-Guided Contrastive Learning
by: Tong, Yujia, et al.
Published: (2025)

Attention in Geometry: Scalable Spatial Modeling via Adaptive Density Fields and FAISS-Accelerated Kernels
by: Fan, Zhaowen
Published: (2026)

AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation
by: Tan, Haoyue, et al.
Published: (2026)

Performance-guided Reinforced Active Learning for Object Detection
by: Liang, Zhixuan, et al.
Published: (2026)

Mixture-of-Top-k Attention: Efficient Attention via Scalable Fast Weights
by: Wen, Qishuai, et al.
Published: (2026)