forked from open-mmlab/mmdetection
-
Notifications
You must be signed in to change notification settings - Fork 0
/
metafile.yml
111 lines (110 loc) · 4.6 KB
/
metafile.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
Collections:
- Name: GLIP
Metadata:
Training Data: Objects365, GoldG, CC3M, SBU and COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: A100 GPUs
Architecture:
- Swin Transformer
- DYHead
- BERT
Paper:
URL: https://arxiv.org/abs/2112.03857
Title: 'GLIP: Grounded Language-Image Pre-training'
README: configs/glip/README.md
Code:
URL:
Version: v3.0.0
Models:
- Name: glip_atss_swin-t_a_fpn_dyhead_pretrain_obj365
In Collection: GLIP
Config: configs/glip/glip_atss_swin-t_a_fpn_dyhead_pretrain_obj365.py
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 43.0
Weights: https://download.openmmlab.com/mmdetection/v3.0/glip/glip_tiny_a_mmdet-b3654169.pth
- Name: glip_atss_swin-t_b_fpn_dyhead_pretrain_obj365
In Collection: GLIP
Config: configs/glip/glip_atss_swin-t_b_fpn_dyhead_pretrain_obj365.py
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 44.9
Weights: https://download.openmmlab.com/mmdetection/v3.0/glip/glip_tiny_b_mmdet-6dfbd102.pth
- Name: glip_atss_swin-t_c_fpn_dyhead_pretrain_obj365-goldg
In Collection: GLIP
Config: configs/glip/glip_atss_swin-t_c_fpn_dyhead_pretrain_obj365-goldg.py
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 46.7
Weights: https://download.openmmlab.com/mmdetection/v3.0/glip/glip_tiny_c_mmdet-2fc427dd.pth
- Name: glip_atss_swin-t_fpn_dyhead_pretrain_obj365-goldg-cc3m-sub
In Collection: GLIP
Config: configs/glip/glip_atss_swin-t_fpn_dyhead_pretrain_obj365-goldg-cc3m-sub.py
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 46.4
Weights: https://download.openmmlab.com/mmdetection/v3.0/glip/glip_tiny_mmdet-c24ce662.pth
- Name: glip_atss_swin-l_fpn_dyhead_pretrain_mixeddata
In Collection: GLIP
Config: configs/glip/glip_atss_swin-l_fpn_dyhead_pretrain_mixeddata.py
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 51.3
Weights: https://download.openmmlab.com/mmdetection/v3.0/glip/glip_l_mmdet-abfe026b.pth
- Name: glip_atss_swin-t_a_fpn_dyhead_16xb2_ms-2x_funtune_coco
In Collection: GLIP
Config: configs/glip/glip_atss_swin-t_a_fpn_dyhead_16xb2_ms-2x_funtune_coco.py
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 53.3
Weights: https://download.openmmlab.com/mmdetection/v3.0/glip/glip_atss_swin-t_a_fpn_dyhead_16xb2_ms-2x_funtune_coco/glip_atss_swin-t_a_fpn_dyhead_16xb2_ms-2x_funtune_coco_20230914_180419-e6addd96.pth
- Name: glip_atss_swin-t_b_fpn_dyhead_16xb2_ms-2x_funtune_coco
In Collection: GLIP
Config: configs/glip/glip_atss_swin-t_b_fpn_dyhead_16xb2_ms-2x_funtune_coco.py
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 54.1
Weights: https://download.openmmlab.com/mmdetection/v3.0/glip/glip_atss_swin-t_b_fpn_dyhead_16xb2_ms-2x_funtune_coco/glip_atss_swin-t_b_fpn_dyhead_16xb2_ms-2x_funtune_coco_20230916_163538-650323ba.pth
- Name: glip_atss_swin-t_c_fpn_dyhead_16xb2_ms-2x_funtune_coco
In Collection: GLIP
Config: configs/glip/glip_atss_swin-t_c_fpn_dyhead_16xb2_ms-2x_funtune_coco.py
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 55.2
Weights: https://download.openmmlab.com/mmdetection/v3.0/glip/glip_atss_swin-t_c_fpn_dyhead_16xb2_ms-2x_funtune_coco/glip_atss_swin-t_c_fpn_dyhead_16xb2_ms-2x_funtune_coco_20230914_182935-4ba3fc3b.pth
- Name: glip_atss_swin-t_fpn_dyhead_16xb2_ms-2x_funtune_coco
In Collection: GLIP
Config: configs/glip/glip_atss_swin-t_fpn_dyhead_16xb2_ms-2x_funtune_coco.py
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 55.4
Weights: https://download.openmmlab.com/mmdetection/v3.0/glip/glip_atss_swin-t_fpn_dyhead_16xb2_ms-2x_funtune_coco/glip_atss_swin-t_fpn_dyhead_16xb2_ms-2x_funtune_coco_20230914_224410-ba97be24.pth
- Name: glip_atss_swin-l_fpn_dyhead_16xb2_ms-2x_funtune_coco
In Collection: GLIP
Config: configs/glip/glip_atss_swin-l_fpn_dyhead_16xb2_ms-2x_funtune_coco.py
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 59.4
Weights: https://download.openmmlab.com/mmdetection/v3.0/glip/glip_atss_swin-l_fpn_dyhead_16xb2_ms-2x_funtune_coco/glip_atss_swin-l_fpn_dyhead_16xb2_ms-2x_funtune_coco_20230910_100800-e9be4274.pth