Copertina

Impact of Regularization on Calibration and Robustness: from the Representation Space Perspective

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Park, Jonghyun, Kim, Juyeop, Lee, Jong-Seok
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

How Diffusion Models Memorize
di: Kim, Juyeop, et al.
Pubblicazione: (2025)

Steering Away from Memorization: Reachability-Constrained Reinforcement Learning for Text-to-Image Diffusion
di: Karnik, Sathwik, et al.
Pubblicazione: (2026)

FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing
di: Kim, Jeongsol, et al.
Pubblicazione: (2025)

FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers
di: Park, Jonghyun, et al.
Pubblicazione: (2025)

Adaptive Explicit Knowledge Transfer for Knowledge Distillation
di: Park, Hyungkeun, et al.
Pubblicazione: (2024)

Attention Misses Visual Risk: Risk-Adaptive Steering for Multimodal Safety Alignment
di: Park, Jonghyun, et al.
Pubblicazione: (2025)

Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution
di: Lee, Hojung, et al.
Pubblicazione: (2024)

Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-Resolution
di: Kim, Bryan Sangwoo, et al.
Pubblicazione: (2026)

SC-Pro: Training-Free Framework for Defending Unsafe Image Synthesis Attack
di: Park, Junha, et al.
Pubblicazione: (2025)

HyGE-Occ: Hybrid View-Transformation with 3D Gaussian and Edge Priors for 3D Panoptic Occupancy Prediction
di: Kim, Jong Wook, et al.
Pubblicazione: (2025)

DESSERT: Diffusion-based Event-driven Single-frame Synthesis via Residual Training
di: Kong, Jiyun, et al.
Pubblicazione: (2025)

TRACE: Your Diffusion Model is Secretly an Instance Edge Detector
di: Jo, Sanghyun, et al.
Pubblicazione: (2025)

Continuous Memory Representation for Anomaly Detection
di: Lee, Joo Chan, et al.
Pubblicazione: (2024)

Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model
di: Kim, Jihun, et al.
Pubblicazione: (2024)

Construction of Digital Terrain Maps from Multi-view Satellite Imagery using Neural Volume Rendering
di: Biberstein, Josef X., et al.
Pubblicazione: (2025)

Geometry-Aware Representation Denoising for Robust Multi-view 3D Reconstruction
di: Kim, Jin Hyeon, et al.
Pubblicazione: (2026)

Autoregressive Sign Language Production: A Gloss-Free Approach with Discrete Representations
di: Hwang, Eui Jun, et al.
Pubblicazione: (2023)

Multiview Geometric Regularization of Gaussian Splatting for Accurate Radiance Fields
di: Kim, Jungeon, et al.
Pubblicazione: (2025)

Network Fission Ensembles for Low-Cost Self-Ensembles
di: Lee, Hojung, et al.
Pubblicazione: (2024)

Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
di: Lee, Jonghyun, et al.
Pubblicazione: (2024)

Mosaic: Compositional Multi-Concept Erasure via Vector Field Blending
di: Ko, Junseok, et al.
Pubblicazione: (2026)

Structured State-Space Regularization for Generation-Friendly Image Tokenization
di: Lee, Jinsung, et al.
Pubblicazione: (2026)

See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis
di: Park, Jaehyun, et al.
Pubblicazione: (2026)

Confidence-Calibrating Regularization for Robust Brain MRI Segmentation Under Domain Shift
di: Khan, Behraj, et al.
Pubblicazione: (2025)

MAIR++: Improving Multi-view Attention Inverse Rendering with Implicit Lighting Representation
di: Choi, JunYong, et al.
Pubblicazione: (2024)

Flow Matching with Uncertainty Quantification and Guidance
di: Han, Juyeop, et al.
Pubblicazione: (2026)

Progressive Learned Image Compression for Machine Perception
di: Kim, Jungwoo, et al.
Pubblicazione: (2025)

Coarse-to-Fine: Progressive Image Compression for Semantically Hierarchical Classification
di: Kim, Jungwoo, et al.
Pubblicazione: (2026)

SLIM: Semantic-based Low-bitrate Image compression for Machines by leveraging diffusion
di: Lee, Hyeonjin, et al.
Pubblicazione: (2025)

Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models
di: Kwon, Taesung, et al.
Pubblicazione: (2026)

MINT: Molecularly Informed Training with Spatial Transcriptomics Supervision for Pathology Foundation Models
di: Lee, Minsoo, et al.
Pubblicazione: (2026)

PiLaMIM: Toward Richer Visual Representations by Integrating Pixel and Latent Masked Image Modeling
di: Lee, Junmyeong, et al.
Pubblicazione: (2025)

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity
di: Choi, Kanghyun, et al.
Pubblicazione: (2024)

UL-VIO: Ultra-lightweight Visual-Inertial Odometry with Noise Robust Test-time Adaptation
di: Park, Jinho, et al.
Pubblicazione: (2024)

Motion Cues from Image-based Point Tracking for LiDAR Scene Flow Estimation
di: Jang, Youngdong, et al.
Pubblicazione: (2026)

Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability
di: Hwang, Jaehui, et al.
Pubblicazione: (2023)

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
di: Lee, Jonghyun, et al.
Pubblicazione: (2024)

Exploring the Camera Bias of Person Re-identification
di: Song, Myungseo, et al.
Pubblicazione: (2025)

Targetless LiDAR-Camera Calibration with Neural Gaussian Splatting
di: Jung, Haebeom, et al.
Pubblicazione: (2025)

HypeVPR: Exploring Hyperbolic Space for Perspective to Equirectangular Visual Place Recognition
di: Woo, Suhan, et al.
Pubblicazione: (2025)