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2D Semantic Segmentation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
A Closer Look at Dynamic Scene Graph Generation In the Era of Multimodal Large Language Models
SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction
Unified Medical Image Segmentation with State Space Modeling Snake
City-VLM: Towards Multidomain Perception Scene Understanding via Multimodal Incomplete Learning
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models
Advancing Complex Wide-Area Scene Understanding with Hierarchical Coresets Selection
DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model
Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation
Tactical Decision for Multi-UGV Confrontation with a Vision-Language Model-Based Commander
U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV
Seeing the Signs: A Survey of Edge-Deployable OCR Models for Billboard Visibility Analysis
EmbRACE-3K: Embodied Reasoning and Action in Complex Environments
A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Flight Computers
Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges
Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation
Admissibility of Stein Shrinkage for Batch Normalization in the Presence of Adversarial Attacks
MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation
Rethinking Query-based Transformer for Continual Image Segmentation
OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding
HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation
What Demands Attention in Urban Street Scenes? From Scene Understanding towards Road Safety: A Survey of Vision-driven Datasets and Studies
SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning
Just Say Better or Worse: A Human-AI Collaborative Framework for Medical Image Segmentation Without Manual Annotations
Reflections Unlock: Geometry-Aware Reflection Disentanglement in 3D Gaussian Splatting for Photorealistic Scenes Rendering
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models
OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts
Causal-SAM-LLM: Large Language Models as Causal Reasoners for Robust Medical Segmentation
SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment
No time to train! Training-Free Reference-Based Instance Segmentation
DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback Synergy
Autoadaptive Medical Segment Anything Model
Prompt2SegCXR:Prompt to Segment All Organs and Diseases in Chest X-rays
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