Imagen de Portada

Segment Any RGB-Thermal Model with Language-aided Distillation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Xing, Dong, Zhu, Xianxun, Zhou, Wei, Lin, Qika, Yang, Hang, Wang, Yuqing
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Refer to Any Segmentation Mask Group With Vision-Language Prompts
por: Cao, Shengcao, et al.
Publicado: (2025)

X-SAM: From Segment Anything to Any Segmentation
por: Wang, Hao, et al.
Publicado: (2025)

Segment Any 3D Object with Language
por: Lee, Seungjun, et al.
Publicado: (2024)

AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation
por: Gu, Yuchao, et al.
Publicado: (2026)

Complementary Random Masking for RGB-Thermal Semantic Segmentation
por: Shin, Ukcheol, et al.
Publicado: (2023)

X2SAM: Any Segmentation in Images and Videos
por: Wang, Hao, et al.
Publicado: (2026)

Compress Any Segment Anything Model (SAM)
por: Fan, Juntong, et al.
Publicado: (2025)

AnyTSR: Any-Scale Thermal Super-Resolution for UAV
por: Li, Mengyuan, et al.
Publicado: (2025)

Griffon: Spelling out All Object Locations at Any Granularity with Large Language Models
por: Zhan, Yufei, et al.
Publicado: (2023)

Animate Any Character in Any World
por: Wang, Yitong, et al.
Publicado: (2025)

AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource
por: Zhan, Wengyi, et al.
Publicado: (2024)

ConceptSeg-R1: Segment Any Concept via Meta-Reinforcement Learning
por: Zhao, Yuan, et al.
Publicado: (2026)

PAM: A Propagation-Based Model for Segmenting Any 3D Objects across Multi-Modal Medical Images
por: Chen, Zifan, et al.
Publicado: (2024)

Comment-aided Video-Language Alignment via Contrastive Pre-training for Short-form Video Humor Detection
por: Liu, Yang, et al.
Publicado: (2024)

Adversarial Prompt Distillation for Vision-Language Models
por: Luo, Lin, et al.
Publicado: (2024)

One Model to Translate Them All: Universal Any-to-Any Translation for Heterogeneous Collaborative Perception
por: Li, Yang, et al.
Publicado: (2026)

Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation
por: Molino, Daniele, et al.
Publicado: (2025)

Recognize Any Regions
por: Yang, Haosen, et al.
Publicado: (2023)

Vision Language Model-Empowered Contract Theory for AIGC Task Allocation in Teleoperation
por: Zhan, Zijun, et al.
Publicado: (2024)

AnyTrans: Translate AnyText in the Image with Large Scale Models
por: Qian, Zhipeng, et al.
Publicado: (2024)

EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy
por: Yu, Yichun, et al.
Publicado: (2025)

Adding Thermal Awareness to Visual Systems in Real-Time via Distilled Diffusion Models
por: Guo, Yuchen, et al.
Publicado: (2026)

Tracking and Segmenting Anything in Any Modality
por: Zhang, Tianlu, et al.
Publicado: (2025)

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study
por: Wang, Yuhan, et al.
Publicado: (2026)

UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity
por: Yu, Junwei, et al.
Publicado: (2025)

Depth Any Video with Scalable Synthetic Data
por: Yang, Honghui, et al.
Publicado: (2024)

Segment Any Object Model (SAOM): Real-to-Simulation Fine-Tuning Strategy for Multi-Class Multi-Instance Segmentation
por: Khan, Mariia, et al.
Publicado: (2024)

Rebalanced Vision-Language Retrieval Considering Structure-Aware Distillation
por: Yang, Yang, et al.
Publicado: (2024)

AnimateDiff-Lightning: Cross-Model Diffusion Distillation
por: Lin, Shanchuan, et al.
Publicado: (2024)

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
por: Wang, Peng, et al.
Publicado: (2024)

FaRMamba: Frequency-based learning and Reconstruction aided Mamba for Medical Segmentation
por: Rong, Ze, et al.
Publicado: (2025)

SAFIRE: Segment Any Forged Image Region
por: Kwon, Myung-Joon, et al.
Publicado: (2024)

DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
por: Xiang, Qianlong, et al.
Publicado: (2024)

FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning
por: Song, Changlin, et al.
Publicado: (2024)

AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
por: Li, Yuhan, et al.
Publicado: (2024)

Rethinking RGB-D Fusion for Semantic Segmentation in Surgical Datasets
por: Jamal, Muhammad Abdullah, et al.
Publicado: (2024)

Merging Context Clustering with Visual State Space Models for Medical Image Segmentation
por: Zhu, Yun, et al.
Publicado: (2025)

Adversarial Attack for RGB-Event based Visual Object Tracking
por: Chen, Qiang, et al.
Publicado: (2025)

Segment Any Anomaly without Training via Hybrid Prompt Regularization
por: Cao, Yunkang, et al.
Publicado: (2023)

OISD: On-Policy Internal Self-Distillation of Language Models
por: Liu, Xinyu, et al.
Publicado: (2026)