Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | You, Zuyao, Wu, Zuxuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Accurate Segmentation Purely from Self-Supervision
by: You, Zuyao, et al.
Published: (2026)
by: You, Zuyao, et al.
Published: (2026)
FOCUS: Towards Universal Foreground Segmentation
by: You, Zuyao, et al.
Published: (2025)
by: You, Zuyao, et al.
Published: (2025)
Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language Understanding
by: Peng, Wujian, et al.
Published: (2023)
by: Peng, Wujian, et al.
Published: (2023)
VideoLoom: A Video Large Language Model for Joint Spatial-Temporal Understanding
by: Shi, Jiapeng, et al.
Published: (2026)
by: Shi, Jiapeng, et al.
Published: (2026)
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
by: Meng, Lingchen, et al.
Published: (2024)
by: Meng, Lingchen, et al.
Published: (2024)
VideoSeg-R1:Reasoning Video Object Segmentation via Reinforcement Learning
by: Xu, Zishan, et al.
Published: (2025)
by: Xu, Zishan, et al.
Published: (2025)
Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control
by: Li, Danfeng, et al.
Published: (2025)
by: Li, Danfeng, et al.
Published: (2025)
Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning
by: You, Zuyao, et al.
Published: (2025)
by: You, Zuyao, et al.
Published: (2025)
ConceptSeg-R1: Segment Any Concept via Meta-Reinforcement Learning
by: Zhao, Yuan, et al.
Published: (2026)
by: Zhao, Yuan, et al.
Published: (2026)
Compile Scene Graphs with Reinforcement Learning
by: Chen, Zuyao, et al.
Published: (2025)
by: Chen, Zuyao, et al.
Published: (2025)
RCoT-Seg: Reinforced Chain-of-Thought for Video Reasoning and Segmentation
by: Wen, Junwei, et al.
Published: (2026)
by: Wen, Junwei, et al.
Published: (2026)
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues
by: Xie, Yuxin, et al.
Published: (2024)
by: Xie, Yuxin, et al.
Published: (2024)
SegMASt3R: Geometry Grounded Segment Matching
by: Jayanti, Rohit, et al.
Published: (2025)
by: Jayanti, Rohit, et al.
Published: (2025)
MedSeg-R: Medical Image Segmentation with Clinical Reasoning
by: Shao, Hao, et al.
Published: (2025)
by: Shao, Hao, et al.
Published: (2025)
DualProtoSeg: Simple and Efficient Design with Text- and Image-Guided Prototype Learning for Weakly Supervised Histopathology Image Segmentation
by: Vu, Anh M., et al.
Published: (2025)
by: Vu, Anh M., et al.
Published: (2025)
BoundarySeg:An Embarrassingly Simple Method To Boost Medical Image Segmentation Performance for Low Data Regimes
by: Kataria, Tushar, et al.
Published: (2025)
by: Kataria, Tushar, et al.
Published: (2025)
CORE-Seg: Reasoning-Driven Segmentation for Complex Lesions via Reinforcement Learning
by: Xie, Yuxin, et al.
Published: (2026)
by: Xie, Yuxin, et al.
Published: (2026)
ACS-SegNet: An Attention-Based CNN-SegFormer Segmentation Network for Tissue Segmentation in Histopathology
by: Torbati, Nima, et al.
Published: (2025)
by: Torbati, Nima, et al.
Published: (2025)
MitoSeg: Mitochondria Segmentation Tool
by: Taşel, Faris Serdar, et al.
Published: (2024)
by: Taşel, Faris Serdar, et al.
Published: (2024)
Seg2Change: Adapting Open-Vocabulary Semantic Segmentation Model for Remote Sensing Change Detection
by: Su, You, et al.
Published: (2026)
by: Su, You, et al.
Published: (2026)
MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models
by: Huang, Yu, et al.
Published: (2025)
by: Huang, Yu, et al.
Published: (2025)
Comprehensive Multi-Modal Prototypes are Simple and Effective Classifiers for Vast-Vocabulary Object Detection
by: Chen, Yitong, et al.
Published: (2024)
by: Chen, Yitong, et al.
Published: (2024)
Med-DisSeg: Dispersion-Driven Representation Learning for Fine-Grained Medical Image Segmentation
by: Chen, Zhiquan, et al.
Published: (2026)
by: Chen, Zhiquan, et al.
Published: (2026)
BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation
by: Lai, Jinxiang, et al.
Published: (2025)
by: Lai, Jinxiang, et al.
Published: (2025)
RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation
by: Du, Anghong, et al.
Published: (2025)
by: Du, Anghong, et al.
Published: (2025)
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation
by: Ye, Jin, et al.
Published: (2024)
by: Ye, Jin, et al.
Published: (2024)
Towards Fine-grained Renal Vasculature Segmentation: Full-Scale Hierarchical Learning with FH-Seg
by: Long, Yitian, et al.
Published: (2025)
by: Long, Yitian, et al.
Published: (2025)
SegEarth-R2: Towards Comprehensive Language-guided Segmentation for Remote Sensing Images
by: Xin, Zepeng, et al.
Published: (2025)
by: Xin, Zepeng, et al.
Published: (2025)
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning
by: Han, Zongyan, et al.
Published: (2025)
by: Han, Zongyan, et al.
Published: (2025)
OMG-Seg: Is One Model Good Enough For All Segmentation?
by: Li, Xiangtai, et al.
Published: (2024)
by: Li, Xiangtai, et al.
Published: (2024)
FlowSeg: Dynamic Semantic Guidance for LLM-Conditioned Segmentation
by: Zhang, Zekang, et al.
Published: (2026)
by: Zhang, Zekang, et al.
Published: (2026)
CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios
by: Xu, Jialei, et al.
Published: (2025)
by: Xu, Jialei, et al.
Published: (2025)
UniGen-1.5: Enhancing Image Generation and Editing through Reward Unification in Reinforcement Learning
by: Tian, Rui, et al.
Published: (2025)
by: Tian, Rui, et al.
Published: (2025)
SegDebias: Test-Time Bias Mitigation for ViT-Based CLIP via Segmentation
by: Wu, Fangyu, et al.
Published: (2025)
by: Wu, Fangyu, et al.
Published: (2025)
Co-Seg: Mutual Prompt-Guided Collaborative Learning for Tissue and Nuclei Segmentation
by: Xu, Qing, et al.
Published: (2025)
by: Xu, Qing, et al.
Published: (2025)
DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities
by: Li, Haitao, et al.
Published: (2025)
by: Li, Haitao, et al.
Published: (2025)
Co-Seg++: Mutual Prompt-Guided Collaborative Learning for Versatile Medical Segmentation
by: Xu, Qing, et al.
Published: (2025)
by: Xu, Qing, et al.
Published: (2025)
LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
by: Li, Tianyu, et al.
Published: (2023)
by: Li, Tianyu, et al.
Published: (2023)
SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation
by: Tan, Shengbo, et al.
Published: (2024)
by: Tan, Shengbo, et al.
Published: (2024)
WOW-Seg: A Word-free Open World Segmentation Model
by: Li, Danyang, et al.
Published: (2026)
by: Li, Danyang, et al.
Published: (2026)
Similar Items
-
Learning Accurate Segmentation Purely from Self-Supervision
by: You, Zuyao, et al.
Published: (2026) -
FOCUS: Towards Universal Foreground Segmentation
by: You, Zuyao, et al.
Published: (2025) -
Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language Understanding
by: Peng, Wujian, et al.
Published: (2023) -
VideoLoom: A Video Large Language Model for Joint Spatial-Temporal Understanding
by: Shi, Jiapeng, et al.
Published: (2026) -
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
by: Meng, Lingchen, et al.
Published: (2024)