Copertina

Few-Shot Learning in Video and 3D Object Detection: A Survey

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ferdaus, Md Meftahul, Niles, Kendall N., Tom, Joe, Abdelguerfi, Mahdi, Ioup, Elias
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

KARMA: Efficient Structural Defect Segmentation via Kolmogorov-Arnold Representation Learning
di: Ferdaus, Md Meftahul, et al.
Pubblicazione: (2025)

DeltaSeg: Tiered Attention and Deep Delta Learning for Multi-Class Structural Defect Segmentation
di: Noguera, Enrique Hernandez, et al.
Pubblicazione: (2026)

Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation
di: Thrainer, Christina, et al.
Pubblicazione: (2025)

VeloxNet: Efficient Spatial Gating for Lightweight Embedded Image Classification
di: Ferdaus, Md Meftahul, et al.
Pubblicazione: (2026)

KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional Elements
di: Ferdaus, Md Meftahul, et al.
Pubblicazione: (2024)

Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Network
di: Alshawi, Rasha, et al.
Pubblicazione: (2024)

Edge-Optimized Vision-Language Models for Underground Infrastructure Assessment
di: Lopez, Johny J., et al.
Pubblicazione: (2026)

EfficientPENet: Real-Time Depth Completion from Sparse LiDAR via Lightweight Multi-Modal Fusion
di: Lopez, Johny J., et al.
Pubblicazione: (2026)

SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes
di: Alshawi, Rasha, et al.
Pubblicazione: (2024)

FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention Networks
di: Thrainer, Christina, et al.
Pubblicazione: (2025)

Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models
di: Ferdaus, Md Meftahul, et al.
Pubblicazione: (2024)

A Stochastic Geo-spatiotemporal Bipartite Network to Optimize GCOOS Sensor Placement Strategies
di: Holmberg, Ted Edward, et al.
Pubblicazione: (2024)

STROOBnet Optimization via GPU-Accelerated Proximal Recurrence Strategies
di: Holmberg, Ted Edward, et al.
Pubblicazione: (2024)

Enhancing Few-Shot Classification of Benchmark and Disaster Imagery with ABHFA-Net
di: Lee, Gao Yu, et al.
Pubblicazione: (2025)

ANROT-HELANet: Adverserially and Naturally Robust Attention-Based Aggregation Network via The Hellinger Distance for Few-Shot Classification
di: Lee, Gao Yu, et al.
Pubblicazione: (2025)

Bridging Spectral Operator Learning and U-Net Hierarchies: SpectraNet for Stable Autoregressive PDE Surrogates
di: Noguera, Enrique Hernández, et al.
Pubblicazione: (2026)

DRACO-DehazeNet: An Efficient Image Dehazing Network Combining Detail Recovery and a Novel Contrastive Learning Paradigm
di: Lee, Gao Yu, et al.
Pubblicazione: (2024)

Dehazing Remote Sensing and UAV Imagery: A Review of Deep Learning, Prior-based, and Hybrid Approaches
di: Lee, Gao Yu, et al.
Pubblicazione: (2024)

Few-Shot Incremental 3D Object Detection in Dynamic Indoor Environments
di: Zhu, Yun, et al.
Pubblicazione: (2026)

Temporal Object-Aware Vision Transformer for Few-Shot Video Object Detection
di: Kumar, Yogesh, et al.
Pubblicazione: (2025)

MOVE: Motion-Guided Few-Shot Video Object Segmentation
di: Ying, Kaining, et al.
Pubblicazione: (2025)

Few-Shot Object Detection: Research Advances and Challenges
di: Xin, Zhimeng, et al.
Pubblicazione: (2024)

Few-Shot Object Detection with Sparse Context Transformers
di: Mei, Jie, et al.
Pubblicazione: (2024)

Prototype-Driven Adaptation for Few-Shot Object Detection
di: Huang, Yushen, et al.
Pubblicazione: (2025)

Learning Multi-Modal Prototypes for Cross-Domain Few-Shot Object Detection
di: Wang, Wanqi, et al.
Pubblicazione: (2026)

Towards Generalized Few-Shot Open-Set Object Detection
di: Su, Binyi, et al.
Pubblicazione: (2022)

Fine-Grained Prototypes Distillation for Few-Shot Object Detection
di: Wang, Zichen, et al.
Pubblicazione: (2024)

Revisiting Few-Shot Object Detection with Vision-Language Models
di: Madan, Anish, et al.
Pubblicazione: (2023)

Generalization-Enhanced Few-Shot Object Detection in Remote Sensing
di: Lin, Hui, et al.
Pubblicazione: (2025)

DetPO: In-Context Learning with Multi-Modal LLMs for Few-Shot Object Detection
di: Gare, Gautam Rajendrakumar, et al.
Pubblicazione: (2026)

The Solution for CVPR2024 Foundational Few-Shot Object Detection Challenge
di: Pan, Hongpeng, et al.
Pubblicazione: (2024)

From Words to Wavelengths: VLMs for Few-Shot Multispectral Object Detection
di: Nkegoum, Manuel, et al.
Pubblicazione: (2025)

Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery
di: Bou, Xavier, et al.
Pubblicazione: (2024)

Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection
di: Chen, Ruoyu, et al.
Pubblicazione: (2025)

Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection
di: Chen, Xianyu, et al.
Pubblicazione: (2020)

InfRS: Incremental Few-Shot Object Detection in Remote Sensing Images
di: Li, Wuzhou, et al.
Pubblicazione: (2024)

Adding New Categories in Object Detection Using Few-Shot Copy-Paste
di: Deng, Boyang, et al.
Pubblicazione: (2022)

Few-Shot Object Detection via Spatial-Channel State Space Model
di: Xin, Zhimeng, et al.
Pubblicazione: (2025)

Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection
di: Jiang, Yongwei, et al.
Pubblicazione: (2026)

SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection
di: Majee, Anay, et al.
Pubblicazione: (2024)