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Sketch-Based Image Retrieval
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/AnjanDutta/sem-pcyc
공식 코드Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval
https://github.com/Ben-Louis/SBIR-DASE-MEMS
공식 코드https://github.com/abhrac/data-free-sbir
공식 코드https://github.com/abhrac/xmodal-vit
공식 코드Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval
https://github.com/abin333/logonet
공식 코드LogoNet: a fine-grained network for instance-level logo sketch retrieval
https://github.com/ayankumarbhunia/adaptive-fgsbir
공식 코드https://github.com/ayankumarbhunia/stroke_subset_selector-for-fgsbir
공식 코드Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval
https://github.com/buptlinfy/zse-sbir
공식 코드Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style
https://github.com/eunyi-lyou/MA-ZS-SBIR
공식 코드Modality-Aware Representation Learning for Zero-shot Sketch-based Image Retrieval
https://github.com/explainableml/sketch-primitives
공식 코드https://github.com/exponentiai/arnet
공식 코드ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling
https://github.com/exponentiai/effnet
공식 코드ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling
https://github.com/gr8joo/IIAE
공식 코드Variational Interaction Information Maximization for Cross-domain Disentanglement
https://github.com/haowang1992/DSN
공식 코드Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval
https://github.com/huangzongheng/mathm
공식 코드Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image Retrieval
https://github.com/janesjanes/sketchy
공식 코드https://github.com/mainaksingha01/splip
공식 코드Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning
https://github.com/mvp18/ttt-ucdr
공식 코드https://github.com/qliu24/SAKE
공식 코드Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval
https://github.com/subhadeepkoley/demosketch2rgb
공식 코드It's All About Your Sketch: Democratising Sketch Control in Diffusion Models
https://github.com/val-iisc/sketch-parse
공식 코드https://github.com/wdr123/darp-sbir
공식 코드Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval
https://github.com/ymcidence/DeepSketchHashing
공식 코드Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval
https://github.com/zermatt-luo/SBKA
공식 코드Symmetrical Bidirectional Knowledge Alignment for Zero-Shot Sketch-Based Image Retrieval
https://github.com/AyanKumarBhunia/on-the-fly-FGSBIR
Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval
https://github.com/AyanKumarBhunia/semisupervised-FGSBIR
More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval
https://github.com/IISCAditayTripathi/SketchGuidedLocalization
https://github.com/KeLi-SketchX/Universal-sketch-perceptual-grouping
https://github.com/ShivaKrishnaM/ZS-SBIR
https://github.com/XiSHEN0220/WatermarkReco
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
https://github.com/aneeshan95/Cross-modal_Hierarchy_FGSBIR
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval
https://github.com/filipradenovic/cnnimageretrieval
https://github.com/hanq0212/IIAE-Pytorch
Variational Interaction Information Maximization for Cross-domain Disentanglement
https://github.com/leosampaio/sketchformer
Sketchformer: Transformer-based Representation for Sketched Structure
https://github.com/samaonline/3D-Shape-Reconstruction-from-Free-Hand-Sketches
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.