Copertina

CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhu, Ye, Ting, Kai Ming, Carman, Mark, Angelova, Maia
Natura:	Preprint
Pubblicazione:	2018
Soggetti:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Hierarchical clustering that takes advantage of both density-peak and density-connectivity
di: Zhu, Ye, et al.
Pubblicazione: (2018)

Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel
di: Zhu, Ye, et al.
Pubblicazione: (2019)

Region-centric Image-Language Pretraining for Open-Vocabulary Detection
di: Kim, Dahun, et al.
Pubblicazione: (2023)

HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
di: Wang, Hongjun, et al.
Pubblicazione: (2024)

From Instructions to Assistance: a Dataset Aligning Instruction Manuals with Assembly Videos for Evaluating Multimodal LLMs
di: Toschi, Federico, et al.
Pubblicazione: (2026)

FlattenGPT: Depth Compression for Transformer with Layer Flattening
di: Xu, Ruihan, et al.
Pubblicazione: (2026)

CENSUS-HWR: a large training dataset for offline handwriting recognition
di: Joshi, Chetan, et al.
Pubblicazione: (2023)

Learning Online Scale Transformation for Talking Head Video Generation
di: Hong, Fa-Ting, et al.
Pubblicazione: (2024)

ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
di: Khanna, Samar, et al.
Pubblicazione: (2024)

VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models
di: Kim, Dahun, et al.
Pubblicazione: (2025)

SwinECAT: A Transformer-based fundus disease classification model with Shifted Window Attention and Efficient Channel Attention
di: Gu, Peiran, et al.
Pubblicazione: (2025)

Dual-stream Transformer-GCN Model with Contextualized Representations Learning for Monocular 3D Human Pose Estimation
di: Ye, Mingrui, et al.
Pubblicazione: (2025)

Adaptive High-Frequency Transformer for Diverse Wildlife Re-Identification
di: Li, Chenyue, et al.
Pubblicazione: (2024)

Amortized-Precision Quantization for Early-Exit Vision Transformers
di: Fang, Rui, et al.
Pubblicazione: (2026)

Evaluating Adversarial Protections for Diffusion Personalization: A Comprehensive Study
di: Ye, Kai, et al.
Pubblicazione: (2025)

A benchmark multimodal oro-dental dataset for large vision-language models
di: Lv, Haoxin, et al.
Pubblicazione: (2025)

Paving the way toward foundation models for irregular and unaligned Satellite Image Time Series
di: Dumeur, Iris, et al.
Pubblicazione: (2024)

CLQ: Cross-Layer Guided Orthogonal-based Quantization for Diffusion Transformers
di: Liu, Kai, et al.
Pubblicazione: (2025)

Zoom and Shift are All You Need
di: Qin, Jiahao
Pubblicazione: (2024)

COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts
di: Li, Jiansheng, et al.
Pubblicazione: (2025)

MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization
di: Wang, Ke, et al.
Pubblicazione: (2023)

Fast Wrong-way Cycling Detection in CCTV Videos: Sparse Sampling is All You Need
di: Xu, Jing, et al.
Pubblicazione: (2024)

Pandar128 dataset for lane line detection
di: Beránek, Filip, et al.
Pubblicazione: (2025)

End-to-End Optimized Image Compression with the Frequency-Oriented Transform
di: Zhang, Yuefeng, et al.
Pubblicazione: (2024)

Transformer for Object Re-Identification: A Survey
di: Ye, Mang, et al.
Pubblicazione: (2024)

Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers
di: Kim, Bum Jun, et al.
Pubblicazione: (2024)

LipShiFT: A Certifiably Robust Shift-based Vision Transformer
di: Menon, Rohan, et al.
Pubblicazione: (2025)

A Dual-way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking
di: Song, Shezheng, et al.
Pubblicazione: (2023)

EVE: Verifiable Self-Evolution of MLLMs via Executable Visual Transformations
di: Heng, Yongrui, et al.
Pubblicazione: (2026)

Heatmap Guided Query Transformers for Robust Astrocyte Detection across Immunostains and Resolutions
di: Zhang, Xizhe, et al.
Pubblicazione: (2025)

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models
di: Wang, Hongjun, et al.
Pubblicazione: (2026)

EHWGesture -- A dataset for multimodal understanding of clinical gestures
di: Amprimo, Gianluca, et al.
Pubblicazione: (2025)

Optimal Video Compression using Pixel Shift Tracking
di: Panneerselvam, Hitesh Saai Mananchery, et al.
Pubblicazione: (2024)

SentiFormer: Metadata Enhanced Transformer for Image Sentiment Analysis
di: Feng, Bin, et al.
Pubblicazione: (2025)

Case-Enhanced Vision Transformer: Improving Explanations of Image Similarity with a ViT-based Similarity Metric
di: Zhao, Ziwei, et al.
Pubblicazione: (2024)

Learning to Transform Dynamically for Better Adversarial Transferability
di: Zhu, Rongyi, et al.
Pubblicazione: (2024)

Where are we with calibration under dataset shift in image classification?
di: Roschewitz, Mélanie, et al.
Pubblicazione: (2025)

CNN-based explanation ensembling for dataset, representation and explanations evaluation
di: Hryniewska-Guzik, Weronika, et al.
Pubblicazione: (2024)

QueensCAMP: an RGB-D dataset for robust Visual SLAM
di: Bruno, Hudson M. S., et al.
Pubblicazione: (2024)

Enhancing DR Classification with Swin Transformer and Shifted Window Attention
di: Boulaabi, Meher, et al.
Pubblicazione: (2025)