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Domain-Specific

6,723 papers (10 classified directly here)

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Papers (including subtopics)

Local Precise Refinement: A Dual-Gated Mixture-of-Experts for Enhancing Foundation Model Generalization against Spectral Shifts CVPR 2026 LoD-Loc v3: Generalized Aerial Localization in Dense Cities using Instance Silhouette Alignment CVPR 2026 Long-SCOPE: Fully Sparse Long-Range Cooperative 3D Perception CVPR 2026 Look Before You Fuse: 2D-Guided Cross-Modal Alignment for Robust 3D Detection CVPR 2026 LowRank-CAM: A Computationally Efficient and Interpretable Framework for Medical Image Analysis (Student Abstract) AAAI 2026 LSD-3D: Large-Scale 3D Driving Scene Generation with Geometry Grounding AAAI 2026 LUDO: Low-Latency Understanding of Deformable Objects Using Point Cloud Occupancy Functions (Abstract Reprint) AAAI 2026 LUMINA: A Multi-Vendor Mammography Benchmark with Energy Harmonization Protocol CVPR 2026 LWGANet: Addressing Spatial and Channel Redundancy in Remote Sensing Visual Tasks with Light-Weight Grouped Attention AAAI 2026 M3DLayout: A Multi-Source Dataset of 3D Indoor Layouts and Structured Descriptions for 3D Generation CVPR 2026 M3SR: Multi-Scale Multi-Perceptual Mamba for Efficient Spectral Reconstruction AAAI 2026 MAD: Motion Appearance Decoupling for efficient Driving World Models CVPR 2026 MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data WACV 2026 MAFM3: Modular Adaptation of Foundation Models for Multi-Modal Medical AI WACV 2026 MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes WACV 2026 MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents AAAI 2026 MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss AAAI 2026 Make Foundation Models Trustworthy Again: Causal Fine-Adaptation for Medical Image Segmentation AAAI 2026 MambaSeg: Harnessing Mamba for Accurate and Efficient Image-Event Semantic Segmentation AAAI 2026 MaRS: A Multi-modality Very-high-resolution Remote Sensing Foundation Model with Cross-Granularity Meta-Modality Learning AAAI 2026 MARSS: Radar Semantic Segmentation via Modular Attention and State Space Models CVPR 2026 MatE: Material Extraction from Single-Image via Geometric Prior CVPR 2026 MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation CVPR 2026 Medical Image Segmentation with Minimal Labeling Effort: How Far Can We Push the Limits? AAAI 2026 MedROV: Towards Real-Time Open-Vocabulary Detection Across Diverse Medical Imaging Modalities WACV 2026