:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Baek, Sunghyun, Yu, Jaemyung, Koh, Seunghee, Kim, Minsu, Jeon, Hyeonseong, Kim, Junmo
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.07926
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MDS-DETR: DETR with Masked Duplicate Suppressor
by: Lee, Chanho, et al.
Published: (2026)

IWP: Token Pruning as Implicit Weight Pruning in Large Vision Language Models
by: Lee, Dong-Jae, et al.
Published: (2026)

Inlier-Centric Post-Training Quantization for Object Detection Models
by: Kim, Minsu, et al.
Published: (2026)

Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens
by: Koh, Seunghee, et al.
Published: (2026)

Frequency-Aware Token Reduction for Efficient Vision Transformer
by: Lee, Dong-Jae, et al.
Published: (2025)

PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion
by: Choi, Jaehyun, et al.
Published: (2025)

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation
by: Choi, Jaehyun, et al.
Published: (2025)

UniSpector: Towards Universal Open-set Defect Recognition via Spectral-Contrastive Visual Prompting
by: Kim, Geonuk, et al.
Published: (2026)

Self-supervised Transformation Learning for Equivariant Representations
by: Yu, Jaemyung, et al.
Published: (2025)

Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards
by: Kim, Seungwook, et al.
Published: (2026)

Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Deep Learning Image Classification
by: Lee, Hansang, et al.
Published: (2022)

AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
by: Kim, Hyungmin, et al.
Published: (2022)

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation
by: Zhang, Rongyu, et al.
Published: (2024)

Cross-Axis Feature Fusion with Joint-Wise Motion Difference Prediction for Text-Based 3D Human Motion Editing
by: Han, Gyojin, et al.
Published: (2026)

Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis
by: Lee, Haeil, et al.
Published: (2024)

AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation
by: Choi, Jaehyun, et al.
Published: (2024)

SceneAdapt: Scene-aware Adaptation of Human Motion Diffusion
by: Cho, Jungbin, et al.
Published: (2025)

TTA-DAME: Test-Time Adaptation with Domain Augmentation and Model Ensemble for Dynamic Driving Conditions
by: Jeon, Dongjae, et al.
Published: (2025)

Instruction-tuned Self-Questioning Framework for Multimodal Reasoning
by: Jang, You-Won, et al.
Published: (2025)

The Effects of Mixed Sample Data Augmentation are Class Dependent
by: Lee, Haeil, et al.
Published: (2023)

Learning Question-Aware Keyframe Selection with Synthetic Supervision for Video Question Answering
by: Kwon, Minchan, et al.
Published: (2026)

Addressing Diverging Training Costs using BEVRestore for High-resolution Bird's Eye View Map Construction
by: Kim, Minsu, et al.
Published: (2024)

Pygmalion Effect in Vision: Image-to-Clay Translation for Reflective Geometry Reconstruction
by: Lee, Gayoung, et al.
Published: (2025)

Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly Detection
by: Lei, Tianwu, et al.
Published: (2024)

Inspecting Explainability of Transformer Models with Additional Statistical Information
by: Nguyen, Hoang C., et al.
Published: (2023)

MoSE: Skill-by-Skill Mixture-of-Experts Learning for Embodied Autonomous Machines
by: Xu, Lu, et al.
Published: (2025)

ARGOS: Who, Where, and When in Agentic Multi-Camera Person Search
by: Kim, Myungchul, et al.
Published: (2026)

Comparison Reveals Commonality: Customized Image Generation through Contrastive Inversion
by: Kim, Minseo, et al.
Published: (2025)

ConceptPrism: Concept Disentanglement in Personalized Diffusion Models via Residual Token Optimization
by: Kim, Minseo, et al.
Published: (2026)

IMSE: Efficient U-Net-based Speech Enhancement using Inception Depthwise Convolution and Amplitude-Aware Linear Attention
by: Tang, Xinxin, et al.
Published: (2025)

Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning
by: Lee, Hansang, et al.
Published: (2022)

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask
by: Kim, Jeongho, et al.
Published: (2024)

GroupCoOp: Group-robust Fine-tuning via Group Prompt Learning
by: Kim, Nayeong, et al.
Published: (2025)

ReSpinQuant: Efficient Layer-Wise LLM Quantization via Subspace Residual Rotation Approximation
by: Kim, Suyoung, et al.
Published: (2026)

DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models
by: Chae, Daewon, et al.
Published: (2025)

TestDG: Test-time Domain Generalization for Continual Test-time Adaptation
by: Lee, Sohyun, et al.
Published: (2025)

SFLD: Reducing the content bias for AI-generated Image Detection
by: Gye, Seoyeon, et al.
Published: (2025)

SpatiO: Adaptive Test-Time Orchestration of Vision-Language Agents for Spatial Reasoning
by: Hwang, Chan Yeong, et al.
Published: (2026)

Memory-Efficient Fine-Tuning Diffusion Transformers via Dynamic Patch Sampling and Block Skipping
by: Park, Sunghyun, et al.
Published: (2026)

Burst Image Super-Resolution with Base Frame Selection
by: Kim, Sanghyun, et al.
Published: (2024)