:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bunea, Andrei-Alexandru, Popovici, Dan-Matei, Ionescu, Radu Tudor
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	https://arxiv.org/abs/2602.23903
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Explainable Machine Learning for Sepsis Outcome Prediction Using a Novel Romanian Electronic Health Record Dataset
par: Bunea, Andrei-Alexandru, et autres
Publié: (2026)

Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
par: Carlesso, Hugo, et autres
Publié: (2025)

Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation
par: Hondru, Vlad, et autres
Publié: (2023)

CBM: Curriculum by Masking
par: Jarca, Andrei, et autres
Publié: (2024)

Machine Unlearning in the Era of Quantum Machine Learning: An Empirical Study
par: Crivoi, Carla, et autres
Publié: (2025)

Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets
par: Iordache, Adrian, et autres
Publié: (2024)

MTL-MAD: Multi-Task Learners are Effective Medical Anomaly Detectors
par: Bercean, Bogdan Alexandru, et autres
Publié: (2026)

PRNU-Bench: A Novel Benchmark and Model for PRNU-Based Camera Identification
par: Croitoru, Florinel Alin, et autres
Publié: (2025)

VQPP: Video Query Performance Prediction Benchmark
par: Lutu, Adrian Catalin, et autres
Publié: (2026)

Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results
par: Dumitriu, Andrei, et autres
Publié: (2025)

GeMix: Conditional GAN-Based Mixup for Improved Medical Image Augmentation
par: Carlesso, Hugo, et autres
Publié: (2025)

Reverse Stable Diffusion: What prompt was used to generate this image?
par: Croitoru, Florinel-Alin, et autres
Publié: (2023)

Diffusion Models in Vision: A Survey
par: Croitoru, Florinel-Alin, et autres
Publié: (2022)

Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
par: Ristea, Nicolae-Catalin, et autres
Publié: (2023)

RipVIS: Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety
par: Dumitriu, Andrei, et autres
Publié: (2025)

ExDDV: A New Dataset for Explainable Deepfake Detection in Video
par: Hondru, Vlad, et autres
Publié: (2025)

Learning Rate Curriculum
par: Croitoru, Florinel-Alin, et autres
Publié: (2022)

Curriculum-DPO++: Direct Preference Optimization via Data and Model Curricula for Text-to-Image Generation
par: Croitoru, Florinel-Alin, et autres
Publié: (2026)

Curriculum Direct Preference Optimization for Diffusion and Consistency Models
par: Croitoru, Florinel-Alin, et autres
Publié: (2024)

Masked Image Modeling: A Survey
par: Hondru, Vlad, et autres
Publié: (2024)

Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers
par: Grigore, Diana-Nicoleta, et autres
Publié: (2024)

SegResMamba: An Efficient Architecture for 3D Medical Image Segmentation
par: Das, Badhan Kumar, et autres
Publié: (2025)

CL-MAE: Curriculum-Learned Masked Autoencoders
par: Madan, Neelu, et autres
Publié: (2023)

SlotMatch: Distilling Object-Centric Representations for Unsupervised Video Segmentation
par: Grigore, Diana-Nicoleta, et autres
Publié: (2025)

PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction
par: Poesina, Eduard, et autres
Publié: (2024)

MAVOS-DD: Multilingual Audio-Video Open-Set Deepfake Detection Benchmark
par: Croitoru, Florinel-Alin, et autres
Publié: (2025)

EfficientSign: An Attention-Enhanced Lightweight Architecture for Indian Sign Language Recognition
par: Gupta, Rishabh, et autres
Publié: (2026)

LightMedSeg: Lightweight 3D Medical Image Segmentation with Learned Spatial Anchors
par: Tyagi, Kavyansh, et autres
Publié: (2026)

Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning
par: Justo, Jon Alvarez, et autres
Publié: (2023)

Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation
par: Croitoru, Florinel-Alin, et autres
Publié: (2022)

ACS-SegNet: An Attention-Based CNN-SegFormer Segmentation Network for Tissue Segmentation in Histopathology
par: Torbati, Nima, et autres
Publié: (2025)

AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report
par: Dumitriu, Andrei, et autres
Publié: (2025)

DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-ID
par: Siddiqui, Nyle, et autres
Publié: (2024)

MK-UNet: Multi-kernel Lightweight CNN for Medical Image Segmentation
par: Rahman, Md Mostafijur, et autres
Publié: (2025)

Learned Lightweight Smartphone ISP with Unpaired Data
par: Arhire, Andrei, et autres
Publié: (2025)

UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering
par: Adityaja, A. Mudit, et autres
Publié: (2024)

Challenges in Deep Learning-Based Small Organ Segmentation: A Benchmarking Perspective for Medical Research with Limited Datasets
par: Konrad, Phongsakon Mark, et autres
Publié: (2025)

Audiovisual Masked Autoencoders
par: Georgescu, Mariana-Iuliana, et autres
Publié: (2022)

Runtime Freezing: Dynamic Class Loss for Multi-Organ 3D Segmentation
par: Willoughby, James, et autres
Publié: (2024)

ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation
par: Gong, Zhendi, et autres
Publié: (2022)