SOTAVerified

Semantic correspondence

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

Papers

Showing 126150 of 175 papers

TitleStatusHype
Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain AdaptationCode0
Learning Contrastive Representation for Semantic Correspondence0
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification0
Structured Multi-modal Feature Embedding and Alignment for Image-Sentence Retrieval0
Probabilistic Model Distillation for Semantic CorrespondenceCode0
PatchMatch-Based Neighborhood Consensus for Semantic CorrespondenceCode0
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding0
Feature-Robust Optimal Transport for High-Dimensional Data0
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation0
Reference-Based Video Colorization with Spatiotemporal Correspondence0
Confidence-aware Adversarial Learning for Self-supervised Semantic MatchingCode0
Towards Deep Clustering of Human Activities from Wearables0
Guided Semantic Flow0
CPGAN: Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis0
Feature Robust Optimal Transport for High-dimensional DataCode0
Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence0
SketchDesc: Learning Local Sketch Descriptors for Multi-view Correspondence0
Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic CorrespondenceCode0
CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image SynthesisCode0
Learning Semantic Correspondence Exploiting an Object-level Prior0
Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction0
Dynamic Context Correspondence Network for Semantic AlignmentCode0
SPair-71k: A Large-scale Benchmark for Semantic Correspondence0
Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery0
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural FeaturesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GeoAware-SC (Supervised, AP-10K P.T.)PCK85.6Unverified
2DINOv2PCK85.2Unverified
3GeoAware-SC (Supervised)PCK82.9Unverified
4SD+DINO (Supervised)PCK74.6Unverified
5GeoAware-SC + CleanDIFT (Zero-Shot)PCK70Unverified
6GeoAware-SC (Zero-Shot)PCK68.5Unverified
7SD+DINO + CleanDIFT (Zero-Shot)PCK64.8Unverified
8IFCATPCK64.4Unverified
9SD+DINO (Zero-shot)PCK64Unverified
10DIFT + CleanDIFT (Zero-Shot)PCK61.4Unverified
#ModelMetricClaimedVerifiedStatus
1DINOv2PCK95.8Unverified
2GeoAware-SC (Supervised, AP-10K P.T.)PCK95.7Unverified
3GeoAware-SC (Supervised)PCK95.1Unverified
4CATs++PCK93.8Unverified
5SD+DINO (Supervised)PCK93.6Unverified
6CATsPCK92.6Unverified
7VATPCK92.3Unverified
8VAT (ECCV)PCK92.3Unverified
9CHMPCK91.6Unverified
10DHPFPCK90.7Unverified
#ModelMetricClaimedVerifiedStatus
1LDMCorrespondencesPCK84.3Unverified
2VAT (ECCV)PCK81.6Unverified
3VATPCK81Unverified
4CHMPCK79.4Unverified
5CATsPCK79.2Unverified
6SCOTPCK78.1Unverified
7DHPFPCK77.6Unverified
8HPFPCK76.3Unverified
#ModelMetricClaimedVerifiedStatus
1HPFIoU63Unverified
2DHPFIoU62Unverified
#ModelMetricClaimedVerifiedStatus
1DINOv2PCK87.4Unverified
#ModelMetricClaimedVerifiedStatus
1LDM CorrespondencesMean PCK@0.0561.6Unverified