Leaderboard
Rank |
Institution |
Model name |
Date |
Paper |
FPS |
Hardware |
Meta |
Other |
AP |
AP50 |
AP75 |
AR1 |
AR10 |
1 |
USYD |
object detection |
25-Oct-2022
|
|
1 |
A100 |
|
✔ |
0.6152 |
0.9136 |
0.6753 |
0.4803 |
0.7017 |
2 |
USYD |
object detection |
24-Oct-2022
|
|
1 |
A100 |
|
✔ |
0.6098 |
0.9087 |
0.6628 |
0.4806 |
0.6990 |
3 |
PanGu |
PanGu CV |
23-Apr-2023
|
|
15 |
A100 |
|
✔ |
0.6071 |
0.9057 |
0.6717 |
0.4774 |
0.7063 |
4 |
USYD |
object detection |
25-Oct-2022
|
|
1 |
A100 |
|
✔ |
0.6062 |
0.9075 |
0.6619 |
0.4784 |
0.6962 |
5 |
Fraunhofer IOSB |
DetectoRS |
20-Oct-2022
|
|
1 |
Tesla V100 |
|
✔ |
0.5963 |
0.8969 |
0.6555 |
0.4747 |
0.6661 |
6 |
Fraunhofer IOSB |
DetectoRS |
13-Oct-2022
|
|
1 |
Tesla V100 |
|
✔ |
0.5949 |
0.8931 |
0.6471 |
0.4733 |
0.6668 |
7 |
Fraunhofer IOSB |
DetectoRS |
13-Oct-2022
|
|
1 |
Tesla V100 |
|
✔ |
0.5921 |
0.8900 |
0.6476 |
0.4729 |
0.6620 |
8 |
Fraunhofer IOSB |
DetectoRS |
24-Oct-2022
|
|
1 |
Tesla V100 |
|
✔ |
0.5912 |
0.8917 |
0.6389 |
0.4735 |
0.6617 |
9 |
BUPT MCPRL |
yolo |
26-Sep-2022
|
|
1 |
Tesla V100 |
|
✔ |
0.5900 |
0.9072 |
0.6415 |
0.4641 |
0.6798 |
10 |
|
aaa |
06-Apr-2023
|
|
10 |
V100 |
|
|
0.5893 |
0.8887 |
0.6373 |
0.4713 |
0.6752 |
11 |
Fraunhofer IOSB |
DetectoRS |
23-Oct-2022
|
|
1 |
Tesla V100 |
|
✔ |
0.5887 |
0.8895 |
0.6374 |
0.4685 |
0.6590 |
12 |
Fraunhofer IOSB |
VFNet |
14-Oct-2022
|
|
1 |
Tesla V100 |
|
✔ |
0.5881 |
0.8896 |
0.6410 |
0.4648 |
0.6729 |
13 |
Fraunhofer IOSB |
DetectoRS |
23-Oct-2022
|
|
1 |
Tesla V100 |
|
✔ |
0.5873 |
0.8956 |
0.6463 |
0.4732 |
0.6612 |
14 |
Fraunhofer IOSB |
DetectoRS |
10-Oct-2022
|
|
1 |
Tesla V100 |
|
✔ |
0.5860 |
0.8822 |
0.6406 |
0.4708 |
0.6592 |
15 |
Fraunhofer IOSB |
VFNet |
14-Oct-2022
|
|
1 |
Tesla V100 |
|
✔ |
0.5853 |
0.8744 |
0.6371 |
0.4663 |
0.6732 |
16 |
Fraunhofer IOSB |
VFNet |
20-Oct-2022
|
|
1 |
Tesla V100 |
|
✔ |
0.5838 |
0.8776 |
0.6295 |
0.4663 |
0.6772 |
17 |
BUPT MCPRL |
yolov |
25-Oct-2022
|
|
1 |
Tesla V100 |
|
✔ |
0.5814 |
0.9000 |
0.6188 |
0.4701 |
0.6869 |
18 |
BUPT MCPRL |
yolo |
25-Oct-2022
|
|
1 |
Tesla V100 |
|
✔ |
0.5727 |
0.8907 |
0.6115 |
0.4671 |
0.6842 |
19 |
BUPT MCPRL |
yolo test |
22-Oct-2022
|
|
1 |
Tesla V100 |
|
✔ |
0.5720 |
0.8986 |
0.6201 |
0.4577 |
0.6702 |
20 |
HSU IMB SmartShip |
DyHead |
25-Oct-2022
|
|
1 |
A100 |
|
✔ |
0.5703 |
0.8854 |
0.6163 |
0.4518 |
0.6775 |
21 |
HSU IMB SmartShip |
DyHead |
24-Oct-2022
|
|
1 |
A100 |
|
✔ |
0.5635 |
0.8902 |
0.5884 |
0.4529 |
0.6462 |
22 |
HSU IMB SmartShip |
DyHead |
23-Oct-2022
|
|
1 |
A100 |
|
✔ |
0.5633 |
0.8804 |
0.5954 |
0.4531 |
0.6699 |
23 |
Fraunhofer IOSB |
DetectoRS |
10-Oct-2022
|
|
1 |
Tesla V100 |
|
|
0.5613 |
0.8543 |
0.6070 |
0.4615 |
0.6488 |
24 |
HSU IMB SmartShip |
SmartShip |
23-Oct-2022
|
|
1 |
A100 |
|
✔ |
0.5612 |
0.8675 |
0.5957 |
0.4577 |
0.6499 |
25 |
HSU IMB SmartShip |
DyHead |
25-Oct-2022
|
|
1 |
A100 |
|
✔ |
0.5542 |
0.8745 |
0.5934 |
0.4497 |
0.6342 |
26 |
HSU IMB SmartShip |
DyHead |
23-Oct-2022
|
|
1 |
A100 |
|
✔ |
0.5534 |
0.8616 |
0.5827 |
0.4584 |
0.6506 |
27 |
|
zzz |
04-Apr-2023
|
|
10 |
gpu |
|
|
0.5424 |
0.8457 |
0.5691 |
0.4445 |
0.6284 |
28 |
University of Seoul |
yolo |
14-Oct-2022
|
|
15 |
RTX 3090 |
|
✔ |
0.5371 |
0.8530 |
0.5734 |
0.4405 |
0.6091 |
29 |
University of Seoul |
yolo |
17-Oct-2022
|
|
24 |
RTX 3090 |
|
✔ |
0.5321 |
0.8482 |
0.5672 |
0.4379 |
0.6041 |
30 |
Unica |
YoloCNSv4.1 |
11-Oct-2022
|
|
60 |
TeslaP6 |
|
✔ |
0.5282 |
0.8312 |
0.5638 |
0.4394 |
0.6243 |
31 |
Granular AI |
YOLOv7 |
17-Oct-2022
|
|
10 |
RTX 3090 |
|
|
0.5261 |
0.8373 |
0.5602 |
0.4395 |
0.6191 |
32 |
TUK |
M10 |
24-Oct-2022
|
|
1 |
RTX3090 |
|
|
0.5254 |
0.8387 |
0.5506 |
0.4288 |
0.6006 |
33 |
Granular AI |
YOLOv7 |
17-Oct-2022
|
|
10 |
RTX 3090 |
|
|
0.5245 |
0.8307 |
0.5538 |
0.4332 |
0.6042 |
34 |
Granular AI |
YOLOv7 |
19-Oct-2022
|
|
10 |
RTX 3090 |
|
|
0.5232 |
0.8268 |
0.5529 |
0.4303 |
0.6185 |
35 |
Granular AI |
YOLOv7 |
19-Oct-2022
|
|
10 |
RTX 3090 |
|
|
0.5205 |
0.8226 |
0.5500 |
0.4289 |
0.6056 |
36 |
TUK |
M7 |
22-Oct-2022
|
|
1 |
RTX3090 |
|
|
0.5202 |
0.8409 |
0.5325 |
0.4207 |
0.5943 |
37 |
TUK |
M8 |
21-Oct-2022
|
|
33 |
RTX3090 |
|
✔ |
0.5193 |
0.8025 |
0.5512 |
0.4314 |
0.5848 |
38 |
|
yolo |
19-Oct-2022
|
|
-1 |
2080 |
|
|
0.5193 |
0.8550 |
0.5444 |
0.4347 |
0.6008 |
39 |
NYU |
YOLO |
23-Oct-2022
|
|
1 |
2080 |
|
✔ |
0.5175 |
0.8433 |
0.5464 |
0.4362 |
0.6026 |
40 |
FIT BUT |
YOLOv7 |
21-Oct-2022
|
|
6 |
RTX3090 |
|
✔ |
0.5169 |
0.8013 |
0.5511 |
0.4214 |
0.5796 |
41 |
Unica |
YoloCNSv4 |
11-Oct-2022
|
|
60 |
TeslaP6 |
|
✔ |
0.5167 |
0.8046 |
0.5567 |
0.4251 |
0.5873 |
42 |
TUK |
M7 |
21-Oct-2022
|
|
10 |
RTX3090 |
|
|
0.5126 |
0.8240 |
0.5245 |
0.4205 |
0.5812 |
43 |
Unica |
YoloCNSv3 |
30-Sep-2022
|
|
60 |
TeslaP6 |
|
✔ |
0.5095 |
0.8024 |
0.5446 |
0.4222 |
0.5804 |
44 |
TUK |
M8 |
20-Oct-2022
|
|
33 |
RTX3090 |
|
✔ |
0.5087 |
0.7843 |
0.5484 |
0.4227 |
0.5699 |
45 |
Granular AI |
YOLOv7 |
18-Oct-2022
|
|
10 |
RTX 3090 |
|
|
0.5076 |
0.8402 |
0.5311 |
0.4231 |
0.6080 |
46 |
TUK |
M9 |
23-Oct-2022
|
|
33 |
RTX3090 |
|
|
0.5050 |
0.7846 |
0.5350 |
0.4219 |
0.5700 |
47 |
|
RISC |
17-Oct-2022
|
|
1 |
2080 |
|
✔ |
0.5038 |
0.8399 |
0.5255 |
0.4273 |
0.5824 |
48 |
Durham University |
DurObj |
20-Oct-2022
|
|
4 |
TITAN XP |
|
|
0.5009 |
0.7901 |
0.5142 |
0.4190 |
0.5842 |
49 |
HSU IMB SmartShip |
DyHead |
25-Oct-2022
|
|
1 |
A100 |
|
✔ |
0.5002 |
0.7337 |
0.5618 |
0.4481 |
0.6760 |
50 |
TUK |
M9 |
23-Oct-2022
|
|
5 |
RTX3090 |
|
|
0.4969 |
0.8336 |
0.4928 |
0.4158 |
0.5787 |
51 |
KLE Tech CEVI |
Object Detection |
10-Oct-2022
|
|
60 |
Tesla P100 |
|
|
0.4968 |
0.8326 |
0.5004 |
0.4131 |
0.5797 |
52 |
KLE Tech CEVI |
Object Detection |
13-Oct-2022
|
|
60 |
RTX 3050 |
|
✔ |
0.4968 |
0.8326 |
0.5004 |
0.4131 |
0.5797 |
53 |
KLE Tech CEVI |
Object Detection |
13-Oct-2022
|
|
60 |
RTX 3050 |
|
✔ |
0.4968 |
0.8326 |
0.5004 |
0.4131 |
0.5797 |
54 |
KLE Tech CEVI |
Object Detection |
13-Oct-2022
|
|
60 |
RTX 3050 |
|
|
0.4963 |
0.8346 |
0.5045 |
0.4135 |
0.5784 |
55 |
TUK |
M5 |
14-Oct-2022
|
|
33 |
RTX3090 |
|
✔ |
0.4955 |
0.7736 |
0.5335 |
0.4144 |
0.5613 |
56 |
ISTI |
VFNet64 |
30-May-2023
|
|
1 |
RTX 4090 |
|
✔ |
0.4885 |
0.7892 |
0.5035 |
0.4126 |
0.5837 |
57 |
PiVa AI |
TBD |
12-Oct-2022
|
🔗
|
-1 |
TBD |
|
|
0.4847 |
0.7763 |
0.5194 |
0.3934 |
0.5547 |
58 |
HKUST |
HKUST VGD V |
25-Oct-2022
|
|
10 |
3090 |
|
|
0.4839 |
0.8094 |
0.5142 |
0.4027 |
0.5864 |
59 |
PiVa AI |
TBD |
12-Oct-2022
|
🔗
|
-1 |
TBD |
|
|
0.4812 |
0.7765 |
0.5127 |
0.3914 |
0.5429 |
60 |
HKUST |
HKUST VGD V |
25-Oct-2022
|
|
10 |
3090 |
|
|
0.4742 |
0.7824 |
0.5092 |
0.3933 |
0.5640 |
61 |
FIT BUT |
TOOD |
21-Oct-2022
|
|
1 |
RTX3090 |
|
✔ |
0.4707 |
0.7324 |
0.4919 |
0.3961 |
0.5361 |
62 |
PiVa AI |
TBD |
09-Oct-2022
|
🔗
|
-1 |
TBD |
|
|
0.4604 |
0.7542 |
0.4859 |
0.3738 |
0.5221 |
63 |
HSU IMB SmartShip |
DyHead |
24-Oct-2022
|
|
1 |
A100 |
|
✔ |
0.4534 |
0.7125 |
0.4847 |
0.3754 |
0.5213 |
64 |
12 |
belele |
24-May-2023
|
|
123 |
123 |
|
|
0.4516 |
0.7390 |
0.4775 |
0.3856 |
0.5222 |
65 |
asd |
lala |
24-May-2023
|
|
1 |
312 |
✔ |
|
0.4442 |
0.7477 |
0.4595 |
0.3741 |
0.5137 |
66 |
|
YoloCNSv2 |
24-Sep-2022
|
|
60 |
TeslaP6 |
|
✔ |
0.4397 |
0.7185 |
0.4719 |
0.3629 |
0.5107 |
67 |
FEUP |
Adapt 8 5e3 |
29-May-2023
|
|
-1 |
NVIDIA 3080 Ti |
✔ |
|
0.4384 |
0.7279 |
0.4557 |
0.3888 |
0.5123 |
68 |
FEUP |
Adapt 8 1e3 |
26-May-2023
|
|
-1 |
NVIDIA 3080 Ti |
✔ |
|
0.4366 |
0.7306 |
0.4562 |
0.3807 |
0.5047 |
69 |
FEUP |
angle 5e3 |
31-May-2023
|
|
-1 |
Nvidia 3080 Ti |
✔ |
|
0.4357 |
0.7286 |
0.4587 |
0.3802 |
0.5041 |
70 |
FEUP |
Baseline - Hyp Evolved |
30-May-2023
|
|
-1 |
NVIDIA 3080 Ti |
|
|
0.4342 |
0.7326 |
0.4561 |
0.3760 |
0.4996 |
71 |
FEUP |
Adapt 8 1e2 |
29-May-2023
|
|
-1 |
NVIDIA 3080 Ti |
✔ |
|
0.4334 |
0.7172 |
0.4595 |
0.3783 |
0.5006 |
72 |
FEUP |
Baseline - Hyp Evolved |
25-May-2023
|
|
-1 |
NVIDIA 3080 Ti |
|
|
0.4323 |
0.7284 |
0.4502 |
0.3780 |
0.4980 |
73 |
FEUP |
Altitude 4 1e3 |
30-May-2023
|
|
-1 |
NVIDIA 3080 Ti |
✔ |
|
0.4320 |
0.7363 |
0.4444 |
0.3786 |
0.5035 |
74 |
FEUP |
Adapt 4 1e2 |
30-May-2023
|
|
-1 |
NVIDIA 3080 Ti |
✔ |
|
0.4309 |
0.7262 |
0.4497 |
0.3807 |
0.5016 |
75 |
FEUP |
both |
01-Jun-2023
|
|
-1 |
NVIDIA 3080 Ti |
|
|
0.4305 |
0.7216 |
0.4491 |
0.3788 |
0.5026 |
76 |
FEUP |
epochs |
31-May-2023
|
|
-1 |
NVIDIA 1050 Ti |
|
|
0.4292 |
0.7210 |
0.4514 |
0.3742 |
0.4990 |
77 |
FEUP |
Baseline - Hyp Evolved |
02-Jun-2023
|
|
-1 |
NVIDIA 3080 Ti |
|
✔ |
0.4288 |
0.7193 |
0.4426 |
0.3774 |
0.4946 |
78 |
FEUP |
Altitude 4 5e3 |
30-May-2023
|
|
-1 |
NVIDIA 3080 Ti |
✔ |
|
0.4276 |
0.7230 |
0.4477 |
0.3809 |
0.5073 |
79 |
Santa Clara University |
Object Detection |
21-Oct-2022
|
|
3 |
Nvidia Titan |
|
|
0.4232 |
0.7052 |
0.4432 |
0.3573 |
0.4978 |
80 |
FIT BUT |
pix2seq |
21-Oct-2022
|
|
1 |
RTX3090 |
|
✔ |
0.4194 |
0.7485 |
0.4056 |
0.3940 |
0.5379 |
81 |
UESTC |
baseline |
09-Oct-2022
|
|
-1 |
-1 |
|
|
0.4182 |
0.7231 |
0.4213 |
0.3636 |
0.4888 |
82 |
University Tübingen |
Baseline |
12-Sep-2022
|
|
66 |
RTX 3080 |
|
✔ |
0.4181 |
0.7233 |
0.4215 |
0.3633 |
0.4891 |
83 |
Santa Clara University |
Object Detection |
07-Oct-2022
|
|
3 |
Titan Xp |
|
|
0.4179 |
0.7231 |
0.4216 |
0.3635 |
0.4887 |
84 |
Santa Clara University |
Object Detection |
16-Oct-2022
|
|
3 |
Nvidia Titan |
|
|
0.4131 |
0.7168 |
0.4194 |
0.3620 |
0.4878 |
85 |
FIT BUT |
pix2seq |
24-Oct-2022
|
|
1 |
RTX3090 |
|
✔ |
0.4095 |
0.7380 |
0.3900 |
0.3837 |
0.5266 |
86 |
FEUP |
baseline-8e-lossota |
26-Apr-2023
|
|
1 |
3080 Ti |
|
|
0.4043 |
0.7042 |
0.4149 |
0.3629 |
0.4819 |
87 |
FEUP |
baseline-8e-default |
26-Apr-2023
|
|
1 |
3080 Ti |
|
|
0.3881 |
0.6825 |
0.3920 |
0.3477 |
0.4606 |
88 |
ASD |
altitude nomoisaic |
01-Jun-2023
|
|
-1 |
3080 Ti |
|
|
0.3651 |
0.6214 |
0.3701 |
0.3330 |
0.4363 |
89 |
FEUP |
baseline nomoisaic |
01-Jun-2023
|
|
-1 |
3080 TI |
|
|
0.3570 |
0.6071 |
0.3633 |
0.3191 |
0.4215 |
90 |
FIT BUT |
DETR |
24-Oct-2022
|
|
1 |
RTX3090 |
|
✔ |
0.3502 |
0.6763 |
0.3344 |
0.3205 |
0.4387 |
91 |
Granular AI |
YOLOv7 |
25-Oct-2022
|
|
80 |
RTX 3090 |
|
|
0.3059 |
0.4771 |
0.3194 |
0.2831 |
0.4629 |
92 |
Granular AI |
YOLOv7 |
25-Oct-2022
|
|
80 |
RTX 3090 |
|
|
0.3001 |
0.4725 |
0.3188 |
0.2476 |
0.4144 |
93 |
University Tuebingen |
F-RCNN ResNet18 Baseline |
09-Oct-2022
|
|
29 |
GTX 1080 Ti |
|
✔ |
0.2434 |
0.5217 |
0.2040 |
0.2358 |
0.3215 |
94 |
Granular AI |
YOLOv7 |
24-Oct-2022
|
|
80 |
RTX 3070 |
|
|
0.2379 |
0.4048 |
0.2395 |
0.1616 |
0.3009 |
95 |
Santa Clara University |
Object Detection |
22-Oct-2022
|
|
3 |
Nvidia Titan |
|
|
0.1917 |
0.3451 |
0.1870 |
0.1321 |
0.2423 |
96 |
FEUP |
baseline-8e-focalloss |
26-Apr-2023
|
|
1 |
3080 Ti |
|
|
0.1593 |
0.3034 |
0.1500 |
0.1350 |
0.2212 |
97 |
Granular AI |
YOLO |
09-Oct-2022
|
|
10 |
RTX 3090 |
|
|
0.1256 |
0.2753 |
0.0981 |
0.1764 |
0.3008 |
98 |
Santa Clara University |
Object Detection |
15-Oct-2022
|
|
3 |
Nvidia Titan |
|
|
0.0959 |
0.1729 |
0.0990 |
0.0922 |
0.1455 |
99 |
Santa Clara University |
Object Detection |
13-Oct-2022
|
|
3 |
Titan Xp |
|
|
0.0943 |
0.1718 |
0.0954 |
0.0870 |
0.1363 |
100 |
KLE Tech Hubli |
Object Detection |
10-Oct-2022
|
|
30 |
Tesla P100 |
|
|
0.0529 |
0.1103 |
0.0442 |
0.0923 |
0.3642 |
101 |
|
Y7 |
25-Oct-2022
|
|
100 |
RTX 3070 |
|
|
0.0449 |
0.1074 |
0.0291 |
0.0073 |
0.0884 |
102 |
Santa Clara University |
Object Detection |
22-Oct-2022
|
|
3 |
Nvidia Titan |
|
|
0.0000 |
0.0000 |
0.0000 |
0.0000 |
0.0000 |