Cover Image

Overcoming Support Dilution for Robust Few-shot Semantic Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Wailing, Yang, Biqi, Heng, Pheng-Ann, Liu, Yun-Hui, Fu, Chi-Wing
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adapting Segment Anything Model for Unseen Object Instance Segmentation
by: Cao, Rui, et al.
Published: (2024)

UniHOPE: A Unified Approach for Hand-Only and Hand-Object Pose Estimation
by: Wang, Yinqiao, et al.
Published: (2025)

SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation
by: Wang, Yinqiao, et al.
Published: (2024)

COS3D: Collaborative Open-Vocabulary 3D Segmentation
by: Zhu, Runsong, et al.
Published: (2025)

Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian Splatting
by: Zhu, Runsong, et al.
Published: (2025)

Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models
by: Xu, Jiaqi, et al.
Published: (2024)

DisCo-Layout: Disentangling and Coordinating Semantic and Physical Refinement in a Multi-Agent Framework for 3D Indoor Layout Synthesis
by: Gao, Jialin, et al.
Published: (2025)

PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion
by: Zhu, Runsong, et al.
Published: (2024)

Bridge the Points: Graph-based Few-shot Segment Anything Semantically
by: Zhang, Anqi, et al.
Published: (2024)

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies
by: Saha, Surojit, et al.
Published: (2025)

Rethinking Few-shot 3D Point Cloud Semantic Segmentation
by: An, Zhaochong, et al.
Published: (2024)

Unveiling Deep Shadows: A Survey and Benchmark on Image and Video Shadow Detection, Removal, and Generation in the Deep Learning Era
by: Hu, Xiaowei, et al.
Published: (2024)

Video Instance Shadow Detection Under the Sun and Sky
by: Xing, Zhenghao, et al.
Published: (2022)

Revisiting Shadow Detection: A New Benchmark Dataset for Complex World
by: Hu, Xiaowei, et al.
Published: (2019)

Symmetrical Joint Learning Support-query Prototypes for Few-shot Segmentation
by: Li, Qun, et al.
Published: (2024)

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
by: Zhu, Muzhi, et al.
Published: (2024)

Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
by: An, Zhaochong, et al.
Published: (2024)

Make It Up: Fake Images, Real Gains in Generalized Few-shot Semantic Segmentation
by: Xie, Guohuan, et al.
Published: (2026)

Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting
by: Li, Wei, et al.
Published: (2024)

Applying ViT in Generalized Few-shot Semantic Segmentation
by: Geng, Liyuan, et al.
Published: (2024)

Few-shot Semantic Learning for Robust Multi-Biome 3D Semantic Mapping in Off-Road Environments
by: Atha, Deegan, et al.
Published: (2024)

Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation
by: Wang, Jin, et al.
Published: (2025)

Few-shot Multispectral Segmentation with Representations Generated by Reinforcement Learning
by: Jayakody, Dilith, et al.
Published: (2023)

EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning
by: Xing, Zhenghao, et al.
Published: (2025)

Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation
by: Xu, Dunyuan, et al.
Published: (2024)

Benchmarking Few-shot Transferability of Pre-trained Models with Improved Evaluation Protocols
by: Luo, Xu, et al.
Published: (2026)

Overcoming Semantic Dilution in Transformer-Based Next Frame Prediction
by: Nguyen, Hy, et al.
Published: (2025)

EgoHandICL: Egocentric 3D Hand Reconstruction with In-Context Learning
by: Xie, Binzhu, et al.
Published: (2026)

DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation
by: Karimi, Amin, et al.
Published: (2025)

Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation
by: Liu, Jie, et al.
Published: (2025)

Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation
by: Xu, Wenbo, et al.
Published: (2024)

Semantic Enhanced Few-shot Object Detection
by: Wang, Zheng, et al.
Published: (2024)

Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation
by: Wu, Xiaoxiao, et al.
Published: (2024)

Boosting Few-Shot Semantic Segmentation Via Segment Anything Model
by: Feng, Chen-Bin, et al.
Published: (2024)

Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation
by: Shan, Lianlei, et al.
Published: (2024)

LERENet: Eliminating Intra-class Differences for Metal Surface Defect Few-shot Semantic Segmentation
by: Ding, Hanze, et al.
Published: (2024)

Beyond Visual Cues: Leveraging General Semantics as Support for Few-Shot Segmentation
by: Wang, Jin, et al.
Published: (2025)

Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
by: Miao, Juzheng, et al.
Published: (2024)

Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation
by: Zhao, Qianguang, et al.
Published: (2025)

SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners
by: Guo, Ziyu, et al.
Published: (2024)