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Geometric Matching
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Hierarchical Cross-Attention Network for Virtual Try-On
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
Boosting Multi-view Stereo with Late Cost Aggregation
Morphology Edge Attention Network and Optimal Geometric Matching Connection model for vascular segmentation
VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts
PMatch: Paired Masked Image Modeling for Dense Geometric Matching
Rethinking Optical Flow from Geometric Matching Consistent Perspective
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training
C-VTON: Context-Driven Image-Based Virtual Try-On Network
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence
Scaling and compressing melodies using geometric similarity measures
Correlation Verification for Image Retrieval
DKM: Dense Kernelized Feature Matching for Geometry Estimation
Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction
ScaleNet: A Shallow Architecture for Scale Estimation
Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothing
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence
Object-Augmented RGB-D SLAM for Wide-Disparity Relocalisation
Protein-protein interactions enhance the thermal resilience of SpyRing enzymes: a molecular dynamic simulation study
Deep Matching Prior: Test-Time Optimization for Dense Correspondence
Spatial Content Alignment For Pose Transfer
Convolutional Hough Matching Networks
Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles
Learning Accurate Dense Correspondences and When to Trust Them
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
Facial Expression Retargeting from Human to Avatar Made Easy
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences
Self-Supervised 3D Keypoint Learning for Ego-motion Estimation
ContextDesc: Local Descriptor Augmentation with Cross-Modality Context
Toward Characteristic-Preserving Image-based Virtual Try-On Network
Learning-based Natural Geometric Matching with Homography Prior
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences
Convolutional neural network architecture for geometric matching
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.