CVPR 2025 "semantic segmentation" Papers

11 papers found

2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification

Jingwei Zhang, Anh Tien Nguyen, Xi Han et al.

CVPR 2025posterarXiv:2412.00678
20
citations

A Dataset for Semantic Segmentation in the Presence of Unknowns

Zakaria Laskar, Tomas Vojir, Matej Grcic et al.

CVPR 2025posterarXiv:2503.22309

An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models

Wentao Qu, Jing Wang, Yongshun Gong et al.

CVPR 2025posterarXiv:2411.16308
9
citations

Assessing and Learning Alignment of Unimodal Vision and Language Models

Le Zhang, Qian Yang, Aishwarya Agrawal

CVPR 2025highlightarXiv:2412.04616
14
citations

DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception

Junjie Wang, BIN CHEN, Yulin Li et al.

CVPR 2025posterarXiv:2505.04410
7
citations

FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation

Dong Zhao, Jinlong Li, Shuang Wang et al.

CVPR 2025posterarXiv:2503.17940
9
citations

SDGOCC: Semantic and Depth-Guided Bird's-Eye View Transformation for 3D Multimodal Occupancy Prediction

ZaiPeng Duan, Xuzhong Hu, Pei An et al.

CVPR 2025posterarXiv:2507.17083
5
citations

SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation

Yunxiang Fu, Meng Lou, Yizhou Yu

CVPR 2025posterarXiv:2412.11890
22
citations

SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation

Hritam Basak, Zhaozheng Yin

CVPR 2025posterarXiv:2504.06389
1
citations

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning

Seokju Yun, Seunghye Chae, Dongheon Lee et al.

CVPR 2025highlightarXiv:2412.04077
8
citations

SyncVP: Joint Diffusion for Synchronous Multi-Modal Video Prediction

Enrico Pallotta, Sina Mokhtarzadeh Azar, Shuai Li et al.

CVPR 2025posterarXiv:2503.18933