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
CVLNet: Cross-View Semantic Correspondence Learning for Video-based Camera Localization0
DCTM: Discrete-Continuous Transformation Matching for Semantic Flow0
Towards Deep Clustering of Human Activities from Wearables0
Demystifying Unsupervised Semantic Correspondence Estimation0
DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo0
Dense Semantic and Topological Correspondence of 3D Faces without Landmarks0
Dense Semantic Correspondence where Every Pixel is a Classifier0
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence0
Semantic Correspondence: A Hierarchical Approach0
Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation0
Distillation of Diffusion Features for Semantic Correspondence0
Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels0
TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method0
DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion0
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding0
Evaluating book summaries from internal knowledge in Large Language Models: a cross-model and semantic consistency approach0
Visible-Infrared Person Re-Identification via Patch-Mixed Cross-Modality Learning0
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images0
Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models0
ASIC: Aligning Sparse in-the-wild Image Collections0
Feature-Robust Optimal Transport for High-Dimensional Data0
Semantix: An Energy Guided Sampler for Semantic Style Transfer0
FPGS: Feed-Forward Semantic-aware Photorealistic Style Transfer of Large-Scale Gaussian Splatting0
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields0
A Context-aware Convolutional Natural Language Generation model for Dialogue Systems0
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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