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Models/FDA

FDA

Reported on 6 benchmarks across 5 tasks · 2 papers · 2 SOTA

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

Natural Language Processing3 results

Visual Question Answering (VQA)onCOCO Visual Question Answering (VQA) real images 1.0 multiple choice
Percentage correct· 2016-04-06
64.2
best: 70.1 (MCB 7 att.)
SOTA
A Focused Dynamic Attention Model for Visual Question Answering arXiv:1604.01485
Visual Question Answering (VQA)onCOCO Visual Question Answering (VQA) real images 1.0 open ended
Percentage correct· 2016-04-06
59.5
best: 66.5 (MCB 7 att.)
A Focused Dynamic Attention Model for Visual Question Answering arXiv:1604.01485
Automated Essay ScoringonASAP-AES
Quadratic Weighted Kappa
0.705
best: 0.817 (Neural Pairwise Contrastive Regression (NPCR))

Methodology1 result

Domain AdaptationonPanoptic SYNTHIA-to-Mapillary
mPQ· 2020-04-11
19.1
best: 38.7 (MC-PanDA)
SOTA
FDA: Fourier Domain Adaptation for Semantic Segmentation arXiv:2004.05498

Medical1 result

Semantic SegmentationonDADA-seg
mIoU· 2020-04-11
24.45
best: 46.97 (MMUDA)
FDA: Fourier Domain Adaptation for Semantic Segmentation arXiv:2004.05498

Audio1 result

10-shot image generationonDADA-seg
mIoU· 2020-04-11
24.45
best: 46.97 (MMUDA)
FDA: Fourier Domain Adaptation for Semantic Segmentation arXiv:2004.05498