Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/FSCE

FSCE

Reported on 30 benchmarks across 6 tasks · 1 paper · 24 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology20 results

3DonMS-COCO (30-shot)
AP· 2021-03-10
15.3
best: 36.8 (Training-free)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
3DonArtaxor
mAP· 2021-03-10
15.9
best: 71.2 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
3DonDIOR
mAP· 2021-03-10
21.9
best: 37.5 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
3DonUODD
mAP· 2021-03-10
12
best: 29.8 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
2D ClassificationonMS-COCO (30-shot)
AP· 2021-03-10
15.3
best: 36.8 (Training-free)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
2D ClassificationonArtaxor
mAP· 2021-03-10
15.9
best: 71.2 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
2D ClassificationonDIOR
mAP· 2021-03-10
21.9
best: 37.5 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
2D ClassificationonUODD
mAP· 2021-03-10
12
best: 29.8 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
2D Object DetectiononMS-COCO (30-shot)
AP· 2021-03-10
15.3
best: 36.8 (Training-free)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
2D Object DetectiononArtaxor
mAP· 2021-03-10
15.9
best: 71.2 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
2D Object DetectiononDIOR
mAP· 2021-03-10
21.9
best: 37.5 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
2D Object DetectiononUODD
mAP· 2021-03-10
12
best: 29.8 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
16konMS-COCO (30-shot)
AP· 2021-03-10
15.3
best: 36.8 (Training-free)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
16konArtaxor
mAP· 2021-03-10
15.9
best: 71.2 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
16konDIOR
mAP· 2021-03-10
21.9
best: 37.5 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
16konUODD
mAP· 2021-03-10
12
best: 29.8 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
3DonMS-COCO (10-shot)
AP· 2021-03-10
11.1
best: 36.6 (Training-free)
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
2D ClassificationonMS-COCO (10-shot)
AP· 2021-03-10
11.1
best: 36.6 (Training-free)
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
2D Object DetectiononMS-COCO (10-shot)
AP· 2021-03-10
11.1
best: 36.6 (Training-free)
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
16konMS-COCO (10-shot)
AP· 2021-03-10
11.1
best: 36.6 (Training-free)
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950

Computer Vision10 results

Object DetectiononMS-COCO (30-shot)
AP· 2021-03-10
15.3
best: 36.8 (Training-free)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
Object DetectiononArtaxor
mAP· 2021-03-10
15.9
best: 71.2 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
Object DetectiononDIOR
mAP· 2021-03-10
21.9
best: 37.5 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
Object DetectiononUODD
mAP· 2021-03-10
12
best: 29.8 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
Few-Shot Object DetectiononMS-COCO (30-shot)
AP· 2021-03-10
15.3
best: 36.8 (Training-free)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
Few-Shot Object DetectiononArtaxor
mAP· 2021-03-10
15.9
best: 71.2 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
Few-Shot Object DetectiononDIOR
mAP· 2021-03-10
21.9
best: 37.5 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
Few-Shot Object DetectiononUODD
mAP· 2021-03-10
12
best: 29.8 (ETS)
SOTA
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
Object DetectiononMS-COCO (10-shot)
AP· 2021-03-10
11.1
best: 36.6 (Training-free)
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950
Few-Shot Object DetectiononMS-COCO (10-shot)
AP· 2021-03-10
11.1
best: 36.6 (Training-free)
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding arXiv:2103.05950