:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Nakshbandi, Mohammad-Maher, Sharawy, Ziad, Grigorescu, Sorin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	https://arxiv.org/abs/2507.15109
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping
di: Nakshbandi, Mohammad-Maher, et al.
Pubblicazione: (2025)

Detection of Adversarial Attacks in Robotic Perception
di: Sharawy, Ziad, et al.
Pubblicazione: (2026)

Loopy-SLAM: Dense Neural SLAM with Loop Closures
di: Liso, Lorenzo, et al.
Pubblicazione: (2024)

Monocular Gaussian SLAM with Language Extended Loop Closure
di: Lan, Tian, et al.
Pubblicazione: (2024)

Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets
di: Pereg, Deborah, et al.
Pubblicazione: (2022)

Real-Time Loop Closure Detection in Visual SLAM via NetVLAD and Faiss
di: Fan, Enguang
Pubblicazione: (2026)

Few-Shot Learning with Class Imbalance
di: Ochal, Mateusz, et al.
Pubblicazione: (2021)

Aspect-Based Few-Shot Learning
di: van Engeland, Tim, et al.
Pubblicazione: (2024)

Conformal-in-the-Loop for Learning with Imbalanced Noisy Data
di: Graham-Knight, John Brandon, et al.
Pubblicazione: (2024)

VIGS SLAM: IMU-based Large-Scale 3D Gaussian Splatting SLAM
di: Pak, Gyuhyeon, et al.
Pubblicazione: (2025)

Unlocking Compositional Generalization in Continual Few-Shot Learning
di: Nguyen-Lam, Phu-Quy, et al.
Pubblicazione: (2026)

BECLR: Batch Enhanced Contrastive Few-Shot Learning
di: Poulakakis-Daktylidis, Stylianos, et al.
Pubblicazione: (2024)

Loop Closure using AnyLoc Visual Place Recognition in DPV-SLAM
di: Zhang, Wenzheng, et al.
Pubblicazione: (2026)

On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning
di: Fang, Pengfei, et al.
Pubblicazione: (2024)

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs
di: Hu, Jiacheng, et al.
Pubblicazione: (2024)

A Bag of Tricks for Few-Shot Class-Incremental Learning
di: Roy, Shuvendu, et al.
Pubblicazione: (2024)

Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework
di: Yang, Zhengwei, et al.
Pubblicazione: (2024)

Adaptive Multi-Scale Correlation Meta-Network for Few-Shot Remote Sensing Image Classification
di: Kaushish, Anurag, et al.
Pubblicazione: (2026)

Verbalized Representation Learning for Interpretable Few-Shot Generalization
di: Yang, Cheng-Fu, et al.
Pubblicazione: (2024)

Boosting Meta-Training with Base Class Information for Few-Shot Learning
di: Jiang, Weihao, et al.
Pubblicazione: (2024)

Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
di: Hu, Minyang, et al.
Pubblicazione: (2024)

Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
di: Lee, Juntae, et al.
Pubblicazione: (2025)

Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning
di: Tekin, Selim Furkan, et al.
Pubblicazione: (2024)

Loop Closure via Maximal Cliques in 3D LiDAR-Based SLAM
di: Laserna, Javier, et al.
Pubblicazione: (2026)

Interpretable Few-shot Learning with Online Attribute Selection
di: Zarei, Mohammad Reza, et al.
Pubblicazione: (2022)

ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark Evaluation
di: Mutlu, Abdulvahap, et al.
Pubblicazione: (2025)

IPEC: Test-Time Incremental Prototype Enhancement Classifier for Few-Shot Learning
di: Liao, Wenwen, et al.
Pubblicazione: (2026)

Meta-Learning Guided Pruning for Few-Shot Plant Pathology on Edge Devices
di: Uddin, Mohammed Mudassir, et al.
Pubblicazione: (2026)

Solving Semi-Supervised Few-Shot Learning from an Auto-Annotation Perspective
di: Liu, Tian, et al.
Pubblicazione: (2025)

Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning
di: Vladymyrov, Max, et al.
Pubblicazione: (2023)

Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
di: Zhu, Lin, et al.
Pubblicazione: (2025)

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation
di: Chi, Zhixiang, et al.
Pubblicazione: (2025)

A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
di: Abdollahzadeh, Milad, et al.
Pubblicazione: (2023)

Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification
di: Bianchi, Matteo, et al.
Pubblicazione: (2024)

S-Graphs 2.0 -- A Hierarchical-Semantic Optimization and Loop Closure for SLAM
di: Bavle, Hriday, et al.
Pubblicazione: (2025)

Doe-1: Closed-Loop Autonomous Driving with Large World Model
di: Zheng, Wenzhao, et al.
Pubblicazione: (2024)

Closed-Loop Transformers: Autoregressive Modeling as Iterative Latent Equilibrium
di: Jafari, Akbar Anbar, et al.
Pubblicazione: (2025)

Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging
di: Woerner, Stefano, et al.
Pubblicazione: (2024)

Object-Centric Cropping for Visual Few-Shot Classification
di: Abdali, Aymane, et al.
Pubblicazione: (2025)

Benchmarking Spurious Bias in Few-Shot Image Classifiers
di: Zheng, Guangtao, et al.
Pubblicazione: (2024)