conftrace_

segment anything model

118 papers

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Also known as

SAM

Co-occurring keywords

semantic segmentation (3186) image segmentation (971) foundation model (735) zero-shot learning (3650) instance segmentation (738) medical image segmentation (351) knowledge distillation (3725) zero-shot segmentation (44) vision-language model (2348) medical imaging (971)

Papers

SAM3-I: Segment Anything with Instructions ACL 2026
Building Instance Segmentation for Dense Urban Settlements AAAI 2026
X-SAM: From Segment Anything to Any Segmentation AAAI 2026
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model AAAI 2026
RS2-SAM2: Customized SAM2 for Referring Remote Sensing Image Segmentation AAAI 2026
ST-SAM: Multimodal Scene Text Segmentation with Dense Visual and Sparse Textual Prompts via SAM AAAI 2026
SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency AAAI 2026
LENS: Learning to Segment Anything with Unified Reinforced Reasoning AAAI 2026
SAM-DAQ: Segment Anything Model with Depth-guided Adaptive Queries for RGB-D Video Salient Object Detection AAAI 2026
Seeing Beyond Illusion: Generalized and Efficient Mirror Detection AAAI 2026
Training-Free Few-Shot Segmentation via Vision-Language Guided Prompting WACV 2026
MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation AAAI 2026
SSR-SAM: Retrieval-Style Segment Anything Model for Semi-Supervised Ultra-High-Resolution Image Segmentation AAAI 2026
CaPro: Curvilinear-aware Prompt Learning with Single Unlabeled Image for Cost-effective Curvilinear Structure Segmentation AAAI 2026
From Passive Perception to Active Memory: A Weakly Supervised Image Manipulation Localization Framework Driven by Coarse-Grained Annotations AAAI 2026
Creating Blank Canvas Against AI-enabled Image Forgery AAAI 2026
Multi-Granularity Video Object Segmentation AAAI 2025
Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities AAAI 2025
Feature Design for Bridging SAM and CLIP toward Referring Image Segmentation WACV 2025
Boosting Segment Anything Model Towards Open-Vocabulary Learning AAAI 2025
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans AAAI 2025
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation AAAI 2025
A Simple-but-Effective Baseline for Training-Free Class-Agnostic Counting WACV 2025
Towards Generalizable Scene Change Detection CVPR 2025
S4M: Boosting Semi-Supervised Instance Segmentation with SAM ICCV 2025