SOTAVerified

Semantic correspondence

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 175 papers

TitleStatusHype
Unleashing the Potential of the Diffusion Model in Few-shot Semantic SegmentationCode1
DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion—0
MOSMOS: Multi-organ segmentation facilitated by medical report supervision—0
CONDA: Condensed Deep Association Learning for Co-Salient Object Detection—0
SGOR: Outlier Removal by Leveraging Semantic and Geometric Information for Robust Point Cloud RegistrationCode0
GPT-4o: Visual perception performance of multimodal large language models in piglet activity understanding—0
Advanced Multimodal Deep Learning Architecture for Image-Text Matching—0
Zero-shot Image Editing with Reference ImitationCode5
Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models—0
Zero-Shot Video Semantic Segmentation based on Pre-Trained Diffusion ModelsCode2
CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression SegmentationCode1
Semantic Gesticulator: Semantics-Aware Co-Speech Gesture SynthesisCode3
Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report GenerationCode1
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform—0
Independently Keypoint Learning for Small Object Semantic Correspondence—0
Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation—0
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields—0
Making Visual Sense of Oracle Bones for You and MeCode0
Pixel-level Semantic Correspondence through Layout-aware Representation Learning and Multi-scale Matching IntegrationCode0
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps—0
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer—0
Patch-wise Graph Contrastive Learning for Image TranslationCode1
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-OnCode3
Match me if you can: Semi-Supervised Semantic Correspondence Learning with Unpaired ImagesCode0
Telling Left from Right: Identifying Geometry-Aware Semantic CorrespondenceCode1
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All datasetsSPair-71kPF-PASCALPF-WILLOWCaltech-101AP-10KCUB-200-2011

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GeoAware-SC (Supervised, AP-10K P.T.)PCK85.6—Unverified
2DINOv2PCK85.2—Unverified
3GeoAware-SC (Supervised)PCK82.9—Unverified
4SD+DINO (Supervised)PCK74.6—Unverified
5GeoAware-SC + CleanDIFT (Zero-Shot)PCK70—Unverified
6GeoAware-SC (Zero-Shot)PCK68.5—Unverified
7SD+DINO + CleanDIFT (Zero-Shot)PCK64.8—Unverified
8IFCATPCK64.4—Unverified
9SD+DINO (Zero-shot)PCK64—Unverified
10DIFT + CleanDIFT (Zero-Shot)PCK61.4—Unverified
#ModelMetricClaimedVerifiedStatus
1DINOv2PCK95.8—Unverified
2GeoAware-SC (Supervised, AP-10K P.T.)PCK95.7—Unverified
3GeoAware-SC (Supervised)PCK95.1—Unverified
4CATs++PCK93.8—Unverified
5SD+DINO (Supervised)PCK93.6—Unverified
6CATsPCK92.6—Unverified
7VAT (ECCV)PCK92.3—Unverified
8VATPCK92.3—Unverified
9CHMPCK91.6—Unverified
10DHPFPCK90.7—Unverified
#ModelMetricClaimedVerifiedStatus
1LDMCorrespondencesPCK84.3—Unverified
2VAT (ECCV)PCK81.6—Unverified
3VATPCK81—Unverified
4CHMPCK79.4—Unverified
5CATsPCK79.2—Unverified
6SCOTPCK78.1—Unverified
7DHPFPCK77.6—Unverified
8HPFPCK76.3—Unverified
#ModelMetricClaimedVerifiedStatus
1HPFIoU63—Unverified
2DHPFIoU62—Unverified
#ModelMetricClaimedVerifiedStatus
1DINOv2PCK87.4—Unverified
#ModelMetricClaimedVerifiedStatus
1LDM CorrespondencesMean PCK@0.0561.6—Unverified