Papers with Code 아카이브
Patch Matching
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/DagnyT/hardnet
공식 코드Working hard to know your neighbor's margins: Local descriptor learning loss
https://github.com/Easonyesheng/A2PM-MESA
공식 코드MESA: Effective Matching Redundancy Reduction by Semantic Area Segmentation
https://github.com/JingfenQiao/ColPali-Reproducibility
공식 코드Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction
https://github.com/YangShenSJTUs/ReIDCorresStructure
공식 코드Person Re-identification with Correspondence Structure Learning
https://github.com/adlsn/surfpatch
공식 코드SurfPatch: Enabling Patch Matching for Exploratory Stream Surface Visualization
https://github.com/ai-it-avs/robustmat
공식 코드RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments
https://github.com/alijavidani/local_global_representation_learning
공식 코드Patch-Wise Self-Supervised Visual Representation Learning: A Fine-Grained Approach
https://github.com/artiprocher/sd-webui-fastblend
공식 코드FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier
https://github.com/casia-iva-lab/filo
공식 코드https://github.com/chaofengc/Face-Sketch-Wild
공식 코드Semi-Supervised Learning for Face Sketch Synthesis in the Wild
https://github.com/chenhaoxing/ssformers
공식 코드https://github.com/daodaofr/caffe-re-id
공식 코드https://github.com/di-marcos/RotEqNet
공식 코드https://github.com/ensv/TS-Net
공식 코드TS-Net: Combining modality specific and common features for multimodal patch matching
https://github.com/french-paragon/libstevi
공식 코드Generalized Closed-form Formulae for Feature-based Subpixel Alignment in Patch-based Matching
https://github.com/gangweix/acvnet
공식 코드Attention Concatenation Volume for Accurate and Efficient Stereo Matching
https://github.com/gangweix/igev
공식 코드IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching
https://github.com/gangweix/igev-plusplus
공식 코드IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching
https://github.com/grishavak/PaCNet-denoiser
공식 코드Patch Craft: Video Denoising by Deep Modeling and Patch Matching
https://github.com/grishavak/pcst
공식 코드Patch-Craft Self-Supervised Training for Correlated Image Denoising
https://github.com/liyih/hybridpoint
공식 코드HybridPoint: Point Cloud Registration Based on Hybrid Point Sampling and Matching
https://github.com/minhaolee/2d3dmatr
공식 코드https://github.com/oskyhn/CNNs-Without-Borders
공식 코드On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
https://github.com/rmitra/PS-Dataset
공식 코드https://github.com/syscv/maskfreevis
공식 코드https://github.com/t-taniai/LocalExpStereo
공식 코드Continuous 3D Label Stereo Matching using Local Expansion Moves
https://github.com/tensorflow/models
공식 코드Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
https://github.com/tonyngjichun/SOLAR
공식 코드https://github.com/yuchuang1205/kgl-net
공식 코드Why and How: Knowledge-Guided Learning for Cross-Spectral Image Patch Matching
https://github.com/yuchuang1205/rrl-net
공식 코드Relational Representation Learning Network for Cross-Spectral Image Patch Matching
https://github.com/yuruntian/HyNet
공식 코드HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss
https://github.com/zipei-chen/canet
공식 코드https://github.com/COGMAR/RotEqNet
https://github.com/MindSpore-scientific-2/code-10/tree/main/Translation-Invariant
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
https://github.com/ai4ce/EUVS-Benchmark
GaussianPro: 3D Gaussian Splatting with Progressive Propagation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.