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Image Segmentation

2049 directly classified papers

Papers per year

Papers

FastLGS: Speeding Up Language Embedded Gaussians with Feature Grid Mapping AAAI 2025
Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation AAAI 2025
Class-Agnostic Visio-Temporal Scene Sketch Semantic Segmentation WACV 2025
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans AAAI 2025
ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement AAAI 2025
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation AAAI 2025
Holistic Correction with Object Prototype for Video Object Segmentation AAAI 2025
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer AAAI 2025
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation AAAI 2025
VOILA: Complexity-Aware Universal Segmentation of CT Images by Voxel Interacting with Language AAAI 2025
S³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation AAAI 2025
IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis AAAI 2025
FOCUS: Towards Universal Foreground Segmentation AAAI 2025
When Shadow Removal Meets Intrinsic Image Decomposition: A Joint Learning Framework Using Unpaired Data AAAI 2025
Multi-view Evidential Learning-based Medical Image Segmentation AAAI 2025
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors AAAI 2025
TinySAM: Pushing the Envelope for Efficient Segment Anything Model AAAI 2025
Component-Level Segmentation for Oracle Bone Inscription Decipherment AAAI 2025
Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation AAAI 2025
Automating the Expansion of Instrument Typicals in Piping and Instrumentation Diagrams (P&IDs) AAAI 2025
A Generative Approach at the Instance-Level for Image Segmentation Under Limited Training Data Conditions (Student Abstract) AAAI 2025
UrbanWaste: In-the-Bin Dataset for Waste Disposal Inspection with Multi-Granularity Hierarchical Labels AAAI 2025
Dynamic Clustering Convolutional Neural Network AAAI 2025
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity CVPR 2025
Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints AAAI 2025