Saved in:
| Main Authors: | Du, Zijian, Rybakov, Oleg |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.27616 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Not All Pixels Are Equal: Pixel-wise Meta-Learning for Medical Segmentation with Noisy Labels
by: Mu, Chenyu, et al.
Published: (2025)
by: Mu, Chenyu, et al.
Published: (2025)
Not All Tokens are Guided Equal: Improving Guidance in Visual Autoregressive Models
by: Nguyen, Ky Dan, et al.
Published: (2025)
by: Nguyen, Ky Dan, et al.
Published: (2025)
AdaLoRA-QAT: Adaptive Low-Rank and Quantization-Aware Segmentation
by: Deb, Prantik, et al.
Published: (2026)
by: Deb, Prantik, et al.
Published: (2026)
SLA2: Sparse-Linear Attention with Learnable Routing and QAT
by: Zhang, Jintao, et al.
Published: (2026)
by: Zhang, Jintao, et al.
Published: (2026)
Not All Degradations Are Equal: A Targeted Feature Denoising Framework for Generalizable Image Super-Resolution
by: Wang, Hongjun, et al.
Published: (2025)
by: Wang, Hongjun, et al.
Published: (2025)
DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models
by: Ke, Wenjin, et al.
Published: (2025)
by: Ke, Wenjin, et al.
Published: (2025)
Empirical Recipes for Efficient and Compact Vision-Language Models
by: Huang, Jiabo, et al.
Published: (2026)
by: Huang, Jiabo, et al.
Published: (2026)
Segment Any Anomaly without Training via Hybrid Prompt Regularization
by: Cao, Yunkang, et al.
Published: (2023)
by: Cao, Yunkang, et al.
Published: (2023)
Not All Splits Are Equal: Rethinking Attribute Generalization Across Unrelated Categories
by: Fircă, Liviu Nicolae, et al.
Published: (2025)
by: Fircă, Liviu Nicolae, et al.
Published: (2025)
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
by: Gui, Guan, et al.
Published: (2025)
by: Gui, Guan, et al.
Published: (2025)
Multi-modality Anomaly Segmentation on the Road
by: Gao, Heng, et al.
Published: (2025)
by: Gao, Heng, et al.
Published: (2025)
Video Understanding by Design: How Datasets Shape Architectures and Insights
by: Wang, Lei, et al.
Published: (2025)
by: Wang, Lei, et al.
Published: (2025)
A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor Segmentation
by: Wang, Ruoxin, et al.
Published: (2024)
by: Wang, Ruoxin, et al.
Published: (2024)
Not All Layers Are Created Equal: Adaptive LoRA Ranks for Personalized Image Generation
by: Shenaj, Donald, et al.
Published: (2026)
by: Shenaj, Donald, et al.
Published: (2026)
VLANeXt: Recipes for Building Strong VLA Models
by: Wu, Xiao-Ming, et al.
Published: (2026)
by: Wu, Xiao-Ming, et al.
Published: (2026)
Find Them All: Unveiling MLLMs for Versatile Person Re-identification
by: Li, Jinhao, et al.
Published: (2025)
by: Li, Jinhao, et al.
Published: (2025)
Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomaly
by: Du, Hang, et al.
Published: (2024)
by: Du, Hang, et al.
Published: (2024)
TRAVL: A Recipe for Making Video-Language Models Better Judges of Physics Implausibility
by: Motamed, Saman, et al.
Published: (2025)
by: Motamed, Saman, et al.
Published: (2025)
ArchShapeNet:An Interpretable 3D-CNN Framework for Evaluating Architectural Shapes
by: Yin, Jun, et al.
Published: (2025)
by: Yin, Jun, et al.
Published: (2025)
XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection
by: Clement, Tobias, et al.
Published: (2024)
by: Clement, Tobias, et al.
Published: (2024)
Ideal Registration? Segmentation is All You Need
by: Chen, Xiang, et al.
Published: (2025)
by: Chen, Xiang, et al.
Published: (2025)
Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation
by: Ren, Zhiyao, et al.
Published: (2025)
by: Ren, Zhiyao, et al.
Published: (2025)
Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning
by: Chen, Ruizhe, et al.
Published: (2025)
by: Chen, Ruizhe, et al.
Published: (2025)
AG-VAS: Anchor-Guided Zero-Shot Visual Anomaly Segmentation with Large Multimodal Models
by: Qu, Zhen, et al.
Published: (2026)
by: Qu, Zhen, et al.
Published: (2026)
IAD-Unify: A Region-Grounded Unified Model for Industrial Anomaly Segmentation, Understanding, and Generation
by: Zheng, Haoyu, et al.
Published: (2026)
by: Zheng, Haoyu, et al.
Published: (2026)
Two Steps Are All You Need: Efficient 3D Point Cloud Anomaly Detection with Consistency Models
by: A, Pranav, et al.
Published: (2026)
by: A, Pranav, et al.
Published: (2026)
Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
by: Du, Hang, et al.
Published: (2024)
by: Du, Hang, et al.
Published: (2024)
Refine-IQA: Multi-Stage Reinforcement Finetuning for Perceptual Image Quality Assessment
by: Jia, Ziheng, et al.
Published: (2025)
by: Jia, Ziheng, et al.
Published: (2025)
Text-Guided Variational Image Generation for Industrial Anomaly Detection and Segmentation
by: Lee, Mingyu, et al.
Published: (2024)
by: Lee, Mingyu, et al.
Published: (2024)
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation
by: Stangl, Kevin, et al.
Published: (2024)
by: Stangl, Kevin, et al.
Published: (2024)
ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
by: Li, Shengze, et al.
Published: (2024)
by: Li, Shengze, et al.
Published: (2024)
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
by: Gao, Bin-Bin
Published: (2025)
by: Gao, Bin-Bin
Published: (2025)
Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation
by: Park, SoYoung, et al.
Published: (2025)
by: Park, SoYoung, et al.
Published: (2025)
LoD Sketch Extraction from Architectural Models Using Generative AI: Dataset Construction for Multi-Level Architectural Design Generation
by: Du, Xusheng, et al.
Published: (2026)
by: Du, Xusheng, et al.
Published: (2026)
Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models
by: Huang, Hongtao, et al.
Published: (2025)
by: Huang, Hongtao, et al.
Published: (2025)
Enhancing Shape Perception and Segmentation Consistency for Industrial Image Inspection
by: Mao, Guoxuan, et al.
Published: (2025)
by: Mao, Guoxuan, et al.
Published: (2025)
Vero: An Open RL Recipe for General Visual Reasoning
by: Sarch, Gabriel, et al.
Published: (2026)
by: Sarch, Gabriel, et al.
Published: (2026)
Teacher Encoder-Student Decoder Denoising Guided Segmentation Network for Anomaly Detection
by: Song, Shixuan, et al.
Published: (2025)
by: Song, Shixuan, et al.
Published: (2025)
Equal is Not Always Fair: A New Perspective on Hyperspectral Representation Non-Uniformity
by: Quan, Wuzhou, et al.
Published: (2025)
by: Quan, Wuzhou, et al.
Published: (2025)
TMUAD: Enhancing Logical Capabilities in Unified Anomaly Detection Models with a Text Memory Bank
by: Liu, Jiawei, et al.
Published: (2025)
by: Liu, Jiawei, et al.
Published: (2025)
Similar Items
-
Not All Pixels Are Equal: Pixel-wise Meta-Learning for Medical Segmentation with Noisy Labels
by: Mu, Chenyu, et al.
Published: (2025) -
Not All Tokens are Guided Equal: Improving Guidance in Visual Autoregressive Models
by: Nguyen, Ky Dan, et al.
Published: (2025) -
AdaLoRA-QAT: Adaptive Low-Rank and Quantization-Aware Segmentation
by: Deb, Prantik, et al.
Published: (2026) -
SLA2: Sparse-Linear Attention with Learnable Routing and QAT
by: Zhang, Jintao, et al.
Published: (2026) -
Not All Degradations Are Equal: A Targeted Feature Denoising Framework for Generalizable Image Super-Resolution
by: Wang, Hongjun, et al.
Published: (2025)