Copertina

Feature Augmentation based Test-Time Adaptation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cho, Younggeol, Kim, Youngrae, Yoon, Junho, Hong, Seunghoon, Lee, Dongman
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

MetaWeather: Few-Shot Weather-Degraded Image Restoration
di: Kim, Youngrae, et al.
Pubblicazione: (2023)

DETACH : Decomposed Spatio-Temporal Alignment for Exocentric Video and Ambient Sensors with Staged Learning
di: Yoon, Junho, et al.
Pubblicazione: (2025)

EVIDENT: Routing MLLM Adaptation through Entity-Grounded Visual Evidence for Cross-Domain Video Temporal Grounding
di: Ahn, Geo, et al.
Pubblicazione: (2026)

Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild
di: Kim, Donggyun, et al.
Pubblicazione: (2024)

Graph-based Online Monitoring of Train Driver States via Facial and Skeletal Features
di: Nocentini, Olivia, et al.
Pubblicazione: (2025)

Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection
di: Kim, Yecheol, et al.
Pubblicazione: (2024)

Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
di: Oh, Yeongtak, et al.
Pubblicazione: (2024)

WiFi based Human Fall and Activity Recognition using Transformer based Encoder Decoder and Graph Neural Networks
di: Cho, Younggeol, et al.
Pubblicazione: (2025)

Bootstrapping Video Semantic Segmentation Model via Distillation-assisted Test-Time Adaptation
di: Kim, Jihun, et al.
Pubblicazione: (2026)

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

Tsanet: Temporal and Scale Alignment for Unsupervised Video Object Segmentation
di: Lee, Seunghoon, et al.
Pubblicazione: (2023)

Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object Segmentation
di: Cho, Suhwan, et al.
Pubblicazione: (2025)

Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation
di: Ha, Seongsu, et al.
Pubblicazione: (2024)

DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation
di: Kim, Jihun, et al.
Pubblicazione: (2025)

Bridging the gap to real-world language-grounded visual concept learning
di: Jung, Whie, et al.
Pubblicazione: (2025)

DEVIAS: Learning Disentangled Video Representations of Action and Scene
di: Bae, Kyungho, et al.
Pubblicazione: (2023)

SlotVTG: Object-Centric Adapter for Generalizable Video Temporal Grounding
di: Han, Jiwook, et al.
Pubblicazione: (2026)

Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers
di: Lee, Dong Hoon, et al.
Pubblicazione: (2024)

Improving Unsupervised Video Object Segmentation via Fake Flow Generation
di: Cho, Suhwan, et al.
Pubblicazione: (2024)

Universal Few-Shot Spatial Control for Diffusion Models
di: Nguyen, Kiet T., et al.
Pubblicazione: (2025)

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

Dual Prototype Attention for Unsupervised Video Object Segmentation
di: Cho, Suhwan, et al.
Pubblicazione: (2022)

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

LACO: Adaptive Latent Communication for Collaborative Driving
di: Chen, Tianhao, et al.
Pubblicazione: (2026)

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

Towards Test-time Efficient Visual Place Recognition via Asymmetric Query Processing
di: Kim, Jaeyoon, et al.
Pubblicazione: (2025)

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras
di: Kim, Youngho, et al.
Pubblicazione: (2025)

Ultra-Light Test-Time Adaptation for Vision--Language Models
di: Kim, Byunghyun
Pubblicazione: (2025)

Is There a Better Source Distribution than Gaussian? Exploring Source Distributions for Image Flow Matching
di: Lee, Junho, et al.
Pubblicazione: (2025)

Geometry-Aware Image Flow Matching
di: Lee, Junho, et al.
Pubblicazione: (2026)

Efficient Test-Time Optimization for Depth Completion via Low-Rank Decoder Adaptation
di: Seo, Minseok, et al.
Pubblicazione: (2026)

THE-Pose: Topological Prior with Hybrid Graph Fusion for Estimating Category-Level 6D Object Pose
di: Lee, Eunho, et al.
Pubblicazione: (2025)

Anticipatory Fall Detection in Humans with Hybrid Directed Graph Neural Networks and Long Short-Term Memory
di: Cho, Younggeol, et al.
Pubblicazione: (2025)

SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation
di: Hu, Zixuan, et al.
Pubblicazione: (2025)

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation
di: Xiong, Yizhe, et al.
Pubblicazione: (2025)

Informative Object-centric Next Best View for Object-aware 3D Gaussian Splatting in Cluttered Scenes
di: Jeong, Seunghoon, et al.
Pubblicazione: (2026)

Open-World Test-Time Adaptation with Hierarchical Feature Aggregation and Attention Affine
di: Liu, Ziqiong, et al.
Pubblicazione: (2025)

DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample
di: Yin, Wenting, et al.
Pubblicazione: (2025)

SALOVA: Segment-Augmented Long Video Assistant for Targeted Retrieval and Routing in Long-Form Video Analysis
di: Kim, Junho, et al.
Pubblicazione: (2024)

Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
di: Park, Junghwan, et al.
Pubblicazione: (2025)