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PF-PASCAL
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Dataset Information
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Introduced
2017
License
Unknown
Homepage
Official Website
Contents
Overview
Associated Benchmarks
Recent Benchmark Submissions
Research Papers
Overview
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Variants:
PF-PASCAL
Associated Benchmarks
This dataset is used in 1 benchmark:
Semantic correspondence
-
Metrics: PCK, PCK (weak)
Recent Benchmark Submissions
Task
Model
Paper
Date
Semantic correspondence
DINOv2
Semantic Correspondence: Unified Benchmarking and …
2025-05-23
Semantic correspondence
GeoAware-SC (Supervised, AP-10K P.T.)
Telling Left from Right: Identifying …
2023-11-28
Semantic correspondence
GeoAware-SC (Supervised)
Telling Left from Right: Identifying …
2023-11-28
Semantic correspondence
GeoAware-SC (Zero-Shot)
Telling Left from Right: Identifying …
2023-11-28
Semantic correspondence
SD+DINO (Supervised)
A Tale of Two Features: …
2023-05-24
Semantic correspondence
VAT (ECCV)
Cost Aggregation with 4D Convolutional …
2022-07-22
Semantic correspondence
CATs++
CATs++: Boosting Cost Aggregation with …
2022-02-14
Semantic correspondence
VAT
Cost Aggregation Is All You …
2021-12-22
Semantic correspondence
CATs
CATs: Cost Aggregation Transformers for …
2021-06-04
Semantic correspondence
CHM
Convolutional Hough Matching Networks
2021-03-31
Semantic correspondence
DHPF
Learning to Compose Hypercolumns for …
2020-07-21
Semantic correspondence
ANCNet
Correspondence Networks with Adaptive Neighbourhood …
2020-03-26
Semantic correspondence
HPF
Hyperpixel Flow: Semantic Correspondence with …
2019-08-18
Semantic correspondence
NC-Net
Neighbourhood Consensus Networks
2018-10-24
Research Papers
Recent papers with results on this dataset:
Semantic Correspondence: Unified Benchmarking and a Strong Baseline
(2025) -
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
(2023) -
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
(2023) -
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
(2022) -
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
(2022) -
Cost Aggregation Is All You Need for Few-Shot Segmentation
(2021) -
CATs: Cost Aggregation Transformers for Visual Correspondence
(2021) -
Convolutional Hough Matching Networks
(2021) -
Learning to Compose Hypercolumns for Visual Correspondence
(2020) -
Correspondence Networks with Adaptive Neighbourhood Consensus
(2020) -
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
(2019) -
Neighbourhood Consensus Networks
(2018) -
External Links:
Official Dataset Homepage
Papers with Code Entry
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