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 101–125 of 175 papers

TitleStatusHype
Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation—0
Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary TasksCode0
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract—0
Learning Space-Time Semantic Correspondences—0
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence—0
Near-realtime Facial Animation by Deep 3D Simulation Super-Resolution—0
SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning—0
SPColor: Semantic Prior Guided Exemplar-based Image ColorizationCode0
ASIC: Aligning Sparse in-the-wild Image Collections—0
Bootstrapping Parallel Anchors for Relative RepresentationsCode0
Visible-Infrared Person Re-Identification via Patch-Mixed Cross-Modality Learning—0
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding—0
MISC210K: A Large-Scale Dataset for Multi-Instance Semantic CorrespondenceCode0
Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence RefinementCode0
Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects—0
Attention-Aware Anime Line Drawing ColorizationCode0
BiSTNet: Semantic Image Prior Guided Bidirectional Temporal Feature Fusion for Deep Exemplar-based Video Colorization—0
Reference Based Color Transfer for Medical Volume Rendering—0
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence—0
CVLNet: Cross-View Semantic Correspondence Learning for Video-based Camera Localization—0
Demystifying Unsupervised Semantic Correspondence Estimation—0
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration—0
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images—0
Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence—0
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels—0
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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