paper
-with-
me
Papers
Browse State-of-the-Art
Datasets
Methods
AI Agents
Trends
Digest
🌙
Face Alignment
벤치마크
Face Alignment on 300W Split 2
35개 결과 ·
⬇ CSV
·
JSON
NME (box)
2.03
2.145
2.26
2.375
2.49
2019-10
2026-11
KDN — 2.49 (2019-10-01)
KDN — 2.49 (2019-10-01)
KDN — 2.49 (2019-10-01)
KDN — 2.49 (2019-10-01)
KDN — 2.49 (2019-10-01)
LUVLi — 2.24 (2020-04-06)
LUVLi — 2.24 (2020-04-06)
LUVLi — 2.24 (2020-04-06)
LUVLi — 2.24 (2020-04-06)
LUVLi — 2.24 (2020-04-06)
DTLD-s — 2.05 (2022-08-23)
DTLD-s — 2.05 (2022-08-23)
DTLD-s — 2.05 (2022-08-23)
DTLD-s — 2.05 (2022-08-23)
DTLD-s — 2.05 (2022-08-23)
SPIGA — 2.03 (2022-10-13)
SPIGA — 2.03 (2022-10-13)
SPIGA — 2.03 (2022-10-13)
SPIGA — 2.03 (2022-10-13)
SPIGA — 2.03 (2022-10-13)
KDN — 2.49 (2019-10-01)
2019-10-01 — KDN: NME (box) 2.49
Rank
Model
NME (box)
AUC@7 (box)
NME (inter-ocular)
AUC@8 (inter-ocular)
FR@8 (inter-ocular)
Paper
Code
Year
1
SPIGA
2.03
71.0
3.43
57.27
0.67
Shape Preserving Facial Landmarks with Graph Attention Networks
andresprados/spiga
2022
2
DTLD-s
2.05
70.9
–
–
–
Towards Accurate Facial Landmark Detection via Cascaded Transformers
2022
3
LUVLi
2.24
68.3
–
–
–
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
abhi1kumar/LUVLi
2020
4
KDN
2.49
67.3
–
–
–
Face Alignment With Kernel Density Deep Neural Network
2019
5
3DDE
–
–
3.73
53.94
2.33
Face Alignment using a 3D Deeply-initialized Ensemble of Regression Trees
bobetocalo/bobetocalo_eccv18
2019
6
DCFE
–
–
3.88
52.42
1.83
A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment
bobetocalo/bobetocalo_eccv18
2018
7
DAN
–
–
4.30
47.00
2.67
Deep Alignment Network: A convolutional neural network for robust face alignment
MarekKowalski/DeepAlignmentNetwork
·
zjjMaiMai/Deep-Alignment-Network-A-convolutional-neural-network-for-robust-face-alignment
·
JiangShaoYin/DAN
2017
8
SPIGA
2.03
71.0
3.43
57.27
0.67
Shape Preserving Facial Landmarks with Graph Attention Networks
andresprados/spiga
2022
9
DTLD-s
2.05
70.9
–
–
–
Towards Accurate Facial Landmark Detection via Cascaded Transformers
2022
10
LUVLi
2.24
68.3
–
–
–
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
abhi1kumar/LUVLi
2020
11
KDN
2.49
67.3
–
–
–
Face Alignment With Kernel Density Deep Neural Network
2019
12
3DDE
–
–
3.73
53.94
2.33
Face Alignment using a 3D Deeply-initialized Ensemble of Regression Trees
bobetocalo/bobetocalo_eccv18
2019
13
DCFE
–
–
3.88
52.42
1.83
A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment
bobetocalo/bobetocalo_eccv18
2018
14
DAN
–
–
4.30
47.00
2.67
Deep Alignment Network: A convolutional neural network for robust face alignment
MarekKowalski/DeepAlignmentNetwork
·
zjjMaiMai/Deep-Alignment-Network-A-convolutional-neural-network-for-robust-face-alignment
·
JiangShaoYin/DAN
2017
15
SPIGA
2.03
71.0
3.43
57.27
0.67
Shape Preserving Facial Landmarks with Graph Attention Networks
andresprados/spiga
2022
16
DTLD-s
2.05
70.9
–
–
–
Towards Accurate Facial Landmark Detection via Cascaded Transformers
2022
17
LUVLi
2.24
68.3
–
–
–
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
abhi1kumar/LUVLi
2020
18
KDN
2.49
67.3
–
–
–
Face Alignment With Kernel Density Deep Neural Network
2019
19
3DDE
–
–
3.73
53.94
2.33
Face Alignment using a 3D Deeply-initialized Ensemble of Regression Trees
bobetocalo/bobetocalo_eccv18
2019
20
DCFE
–
–
3.88
52.42
1.83
A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment
bobetocalo/bobetocalo_eccv18
2018
1–20 / 35
다음 →
페이지당
10
20
50
100