Semantic correspondence

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 76–100 of 175 papers

Title	Date	Tasks	Status	Hype
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding	Jan 22, 2023	DiversitySemantic correspondence	—Unverified	0
UATVR: Uncertainty-Adaptive Text-Video Retrieval	Jan 16, 2023	RetrievalSemantic correspondence	CodeCode Available	1
Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement	Jan 1, 2023	Multiple Instance LearningSemantic correspondence	CodeCode Available	0
MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence	Jan 1, 2023	ObjectObject Recognition	CodeCode Available	0
Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning Network	Jan 1, 2023	Image-text matchingRetrieval	CodeCode Available	1
Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects	Dec 29, 2022	Semantic correspondence	—Unverified	0
Attention-Aware Anime Line Drawing Colorization	Dec 21, 2022	ColorizationSemantic correspondence	CodeCode Available	0
Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization	Dec 6, 2022	Semantic correspondence	CodeCode Available	1
BiSTNet: Semantic Image Prior Guided Bidirectional Temporal Feature Fusion for Deep Exemplar-based Video Colorization	Dec 5, 2022	ColorizationSemantic correspondence	—Unverified	0
Multi-Granularity Cross-Modality Representation Learning for Named Entity Recognition on Social Media	Oct 19, 2022	named-entity-recognitionNamed Entity Recognition	CodeCode Available	1
Reference Based Color Transfer for Medical Volume Rendering	Oct 14, 2022	ColorizationSemantic correspondence	—Unverified	0
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence	Oct 6, 2022	Semantic correspondence	CodeCode Available	1
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence	Sep 19, 2022	Geometric MatchingSemantic correspondence	—Unverified	0
Learning Semantic Correspondence with Sparse Annotations	Aug 15, 2022	DenoisingSemantic correspondence	CodeCode Available	1
PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding	Aug 11, 2022	Panoptic SegmentationSegmentation	CodeCode Available	1
CVLNet: Cross-View Semantic Correspondence Learning for Video-based Camera Localization	Aug 7, 2022	Camera LocalizationImage-Based Localization	—Unverified	0
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation	Jul 30, 2022	Few-Shot Semantic SegmentationSegmentation	CodeCode Available	1
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation	Jul 22, 2022	DecoderFew-Shot Semantic Segmentation	CodeCode Available	1
Semantic-Aware Fine-Grained Correspondence	Jul 21, 2022	Pose TrackingSelf-Supervised Learning	CodeCode Available	1
Demystifying Unsupervised Semantic Correspondence Estimation	Jul 11, 2022	DiagnosticSemantic correspondence	—Unverified	0
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration	Jun 27, 2022	Contrastive LearningImage Registration	—Unverified	0
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images	Jun 25, 2022	GPUSemantic correspondence	—Unverified	0
XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention	Jun 15, 2022	Deformable Medical Image RegistrationImage Registration	CodeCode Available	1
TransforMatcher: Match-to-Match Attention for Semantic Correspondence	May 23, 2022	Semantic correspondence	CodeCode Available	1
Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence	Apr 5, 2022	Semantic correspondence	—Unverified	0

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All datasets SPair-71k PF-PASCAL PF-WILLOW Caltech-101 AP-10K CUB-200-2011

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	GeoAware-SC (Supervised, AP-10K P.T.)	PCK	85.6	—	Unverified
2	DINOv2	PCK	85.2	—	Unverified
3	GeoAware-SC (Supervised)	PCK	82.9	—	Unverified
4	SD+DINO (Supervised)	PCK	74.6	—	Unverified
5	GeoAware-SC + CleanDIFT (Zero-Shot)	PCK	70	—	Unverified
6	GeoAware-SC (Zero-Shot)	PCK	68.5	—	Unverified
7	SD+DINO + CleanDIFT (Zero-Shot)	PCK	64.8	—	Unverified
8	IFCAT	PCK	64.4	—	Unverified
9	SD+DINO (Zero-shot)	PCK	64	—	Unverified
10	DIFT + CleanDIFT (Zero-Shot)	PCK	61.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DINOv2	PCK	95.8	—	Unverified
2	GeoAware-SC (Supervised, AP-10K P.T.)	PCK	95.7	—	Unverified
3	GeoAware-SC (Supervised)	PCK	95.1	—	Unverified
4	CATs++	PCK	93.8	—	Unverified
5	SD+DINO (Supervised)	PCK	93.6	—	Unverified
6	CATs	PCK	92.6	—	Unverified
7	VAT	PCK	92.3	—	Unverified
8	VAT (ECCV)	PCK	92.3	—	Unverified
9	CHM	PCK	91.6	—	Unverified
10	DHPF	PCK	90.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LDMCorrespondences	PCK	84.3	—	Unverified
2	VAT (ECCV)	PCK	81.6	—	Unverified
3	VAT	PCK	81	—	Unverified
4	CHM	PCK	79.4	—	Unverified
5	CATs	PCK	79.2	—	Unverified
6	SCOT	PCK	78.1	—	Unverified
7	DHPF	PCK	77.6	—	Unverified
8	HPF	PCK	76.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HPF	IoU	63	—	Unverified
2	DHPF	IoU	62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DINOv2	PCK	87.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LDM Correspondences	Mean PCK@0.05	61.6	—	Unverified