Papers with Code 아카이브

Semantic correspondence

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 1
평가표: 6
보존된 평가 기록: 49

The task of semantic correspondence aims to establish reliable visual correspondence between different instances of the same object category.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/julian-risch/PatentMatch

공식 코드

PatentMatch: A Dataset for Matching Patent Claims & Prior Art

https://github.com/k-han/SCNet

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SCNet: Learning Semantic Correspondence

https://github.com/kibeom-hong/aespa-net

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AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks

https://github.com/klean2050/eeg_crossmodal

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Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain Adaptation

https://github.com/liuf1990/Implicit_Dense_Correspondence

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Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence

https://github.com/liupeip-cs/iie4mner

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Multi-Granularity Cross-Modality Representation Learning for Named Entity Recognition on Social Media

https://github.com/matthewfl/nlp-entity-convnet

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Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks

https://github.com/microsoft/CoCosNet-v2

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CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

https://github.com/mk-runner/FSE

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Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation

https://github.com/naver-ai/matchme

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Match me if you can: Semi-Supervised Semantic Correspondence Learning with Unpaired Images

https://github.com/pbihao/hdmnet

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Hierarchical Dense Correlation Distillation for Few-Shot Segmentation

https://github.com/qq456cvb/SemanticTransfer

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Semantic Correspondence via 2D-3D-2D Cycle

https://github.com/rlawjdghek/stableviton

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StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On

https://github.com/robertluo1/cohd

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CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentation

https://github.com/shadowxzt/dacm-few-shot.pytorch

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Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation

https://github.com/solemoon/xmorpher

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XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention

https://github.com/thunlp/scorp

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Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence

https://github.com/ubc-vision/LDM_correspondences

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Unsupervised Semantic Correspondence Using Stable Diffusion

https://github.com/val-iisc/iSPA-Net

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iSPA-Net: Iterative Semantic Pose Alignment Network

https://github.com/viector/spcolor

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SPColor: Semantic Prior Guided Exemplar-based Image Colorization

https://github.com/wintersun661/MMNet

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Multi-scale Matching Networks for Semantic Correspondence

https://github.com/wookiekim/transformatcher

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TransforMatcher: Match-to-Match Attention for Semantic Correspondence

https://github.com/yunkai696/mlcn

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Multi-Level Correlation Network For Few-Shot Image Classification

https://github.com/yyjmjc/compositional-temporal-grounding

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Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning

https://github.com/zhangmozhe/video-colorization

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Deep Exemplar-based Video Colorization

https://github.com/zhaohengyuan1/Color2Style

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Color2Embed: Fast Exemplar-Based Image Colorization using Color Embeddings

https://github.com/zmzhang2000/MIGCN

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Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos

https://github.com/DanielCho-HK/ICME2023-Attention-Aware-Anime-Line-Drawing-Colorization

Attention-Aware Anime Line Drawing Colorization

https://github.com/JiwonCocoder/-Joint-Learning-of-Feature-Extraction-and-Cost-Aggregation-for-Semantic-Matching

Neighbourhood Consensus Networks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.