Cover Image

SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Majee, Anay, Sharp, Ryan, Iyer, Rishabh
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SHaSaM: Submodular Hard Sample Mining for Fair Facial Attribute Recognition
by: Majee, Anay, et al.
Published: (2026)

SCoRe: Submodular Combinatorial Representation Learning
by: Majee, Anay, et al.
Published: (2023)

Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection
by: Majee, Anay, et al.
Published: (2025)

STONE: A Submodular Optimization Framework for Active 3D Object Detection
by: Mao, Ruiyu, et al.
Published: (2024)

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity
by: Nanda, Souradeep, et al.
Published: (2025)

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

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

Mutually-Aware Feature Learning for Few-Shot Object Counting
by: Jeon, Yerim, et al.
Published: (2024)

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

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

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

SMA: Submodular Modality Aligner For Data Efficient Multimodal Learning
by: Pham, Truong, et al.
Published: (2026)

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

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

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

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

Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
by: Wu, Zhaowei, et al.
Published: (2024)

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

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

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

Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning
by: Jiang, Weihao, et al.
Published: (2024)

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

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

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

Few-Shot Learning in Video and 3D Object Detection: A Survey
by: Ferdaus, Md Meftahul, et al.
Published: (2025)

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

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

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

Object-level Correlation for Few-Shot Segmentation
by: Wen, Chunlin, et al.
Published: (2025)

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP
by: Li, Yayuan, et al.
Published: (2024)

Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection
by: Yao, Shibo, et al.
Published: (2025)

SAM-IF: Leveraging SAM for Incremental Few-Shot Instance Segmentation
by: Zhou, Xudong, et al.
Published: (2024)

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

FSOD-VFM: Few-Shot Object Detection with Vision Foundation Models and Graph Diffusion
by: Feng, Chen-Bin, et al.
Published: (2026)

Decoupled Prototype Matching with Vision Foundation Models for Few-Shot Industrial Object Detection
by: M., Hari Prasanth S., et al.
Published: (2026)

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

Leveraging VLM-Based Pipelines to Annotate 3D Objects
by: Kabra, Rishabh, et al.
Published: (2023)

Robust Object Detection with Pseudo Labels from VLMs using Per-Object Co-teaching
by: Bhaskar, Uday, et al.
Published: (2025)

Enabling Validation for Robust Few-Shot Recognition
by: Wang, Hanxin, et al.
Published: (2025)

Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection
by: Barbato, Francesco, et al.
Published: (2024)