ML Research Wiki / Benchmarks / Semantic correspondence / PF-PASCAL

PF-PASCAL

Semantic correspondence Benchmark

Performance Over Time

📊 Showing 14 results | 📏 Metric: PCK

Top Performing Models

Rank Model Paper PCK Date Code
1 DINOv2 Semantic Correspondence: Unified Benchmarking and a Strong Baseline 95.80 2025-05-23 📦 Visual-AI/Semantic-Correspondence
2 GeoAware-SC (Supervised, AP-10K P.T.) Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence 95.70 2023-11-28 📦 Junyi42/geoaware-sc
3 GeoAware-SC (Supervised) Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence 95.10 2023-11-28 📦 Junyi42/geoaware-sc
4 CATs++ CATs++: Boosting Cost Aggregation with Convolutions and Transformers 93.80 2022-02-14 📦 KU-CVLAB/CATs-PlusPlus
5 SD+DINO (Supervised) A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence 93.60 2023-05-24 📦 Junyi42/sd-dino
6 CATs CATs: Cost Aggregation Transformers for Visual Correspondence 92.60 2021-06-04 📦 SunghwanHong/Cost-Aggregation-transformers
7 VAT Cost Aggregation Is All You Need for Few-Shot Segmentation 92.30 2021-12-22 📦 Seokju-Cho/Volumetric-Aggregation-Transformer 📦 SunghwanHong/Cost-Aggregation-transformers
8 VAT (ECCV) Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation 92.30 2022-07-22 📦 Seokju-Cho/Volumetric-Aggregation-Transformer
9 CHM Convolutional Hough Matching Networks 91.60 2021-03-31 📦 juhongm999/chm
10 DHPF Learning to Compose Hypercolumns for Visual Correspondence 90.70 2020-07-21 📦 juhongm999/dhpf

All Papers (14)

Visual-AI/Semantic-Correspondence
Junyi42/geoaware-sc
Junyi42/geoaware-sc
KU-CVLAB/CATs-PlusPlus
Junyi42/sd-dino
SunghwanHong/Cost-Aggregation-transformers
Seokju-Cho/Volumetric-Aggregation-Transformer SunghwanHong/Cost-Aggregation-transformers
Seokju-Cho/Volumetric-Aggregation-Transformer
juhongm999/chm
juhongm999/dhpf
ActiveVisionLab/ANCNet
juhongm999/hpf
Junyi42/geoaware-sc
ignacio-rocco/ncnet JiwonCocoder/-Joint-Learning-of-Feature-Extraction-and-Cost-Aggregation-for-Semantic-Matching JiwonCocoder/matching1