Object Detection on COCO-O

Metric: Effective Robustness (higher is better)

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#	Model↕	Effective Robustness▼	Extra Data	Paper	Date↕	Code
1	EVA	28.86	No	EVA: Exploring the Limits of Masked Visual Repre...	2022-11-14	Code
2	GLIP-L (Swin-L)	24.89	No	Grounded Language-Image Pre-training	2021-12-07	Code
3	DETA (Swin-L)	20.15	No	NMS Strikes Back	2022-12-12	Code
4	DINO (Swin-L)	15.76	No	DINO: DETR with Improved DeNoising Anchor Boxes ...	2022-03-07	Code
5	GRiT (ViT-H)	15.72	No	GRiT: A Generative Region-to-text Transformer fo...	2022-12-01	Code
6	ConvNeXt-XL (Cascade Mask R-CNN)	12.68	No	A ConvNet for the 2020s	2022-01-10	Code
7	CBNetV2 (Swin-L)	12.36	No	CBNet: A Composite Backbone Network Architecture...	2021-07-01	Code
8	InternImage-L (Cascade Mask R-CNN)	11.72	No	InternImage: Exploring Large-Scale Vision Founda...	2022-11-10	Code
9	FIBER-B (Swin-B)	11.43	No	Coarse-to-Fine Vision-Language Pre-training with...	2022-06-15	Code
10	DyHead (Swin-L)	10	No	Dynamic Head: Unifying Object Detection Heads wi...	2021-06-15	Code
11	QueryInst (Swin-L)	8.26	No	Instances as Queries	2021-05-05	Code
12	GLIP-T (Swin-T)	8.11	No	Grounded Language-Image Pre-training	2021-12-07	Code
13	ViTDet (ViT-H)	7.89	No	Exploring Plain Vision Transformer Backbones for...	2022-03-30	Code
14	ViT-Adapter (BEiTv2-L)	7.79	No	Vision Transformer Adapter for Dense Predictions	2022-05-17	Code
15	Det-AdvProp (EfficientNet-B5)	7.34	No	Robust and Accurate Object Detection via Adversa...	2021-03-23	Code
16	YOLOX-X	7.26	No	YOLOX: Exceeding YOLO Series in 2021	2021-07-18	Code
17	PVTv2-B5 (Mask R-CNN)	6.85	No	PVT v2: Improved Baselines with Pyramid Vision T...	2021-06-25	Code
18	YOLOv6-L6	6.73	No	YOLOv6: A Single-Stage Object Detection Framewor...	2022-09-07	Code
19	YOLOv7-E6E	6.42	No	YOLOv7: Trainable bag-of-freebies sets new state...	2022-07-06	Code
20	YOLOv4-P6	5.89	No	YOLOv4: Optimal Speed and Accuracy of Object Det...	2020-04-23	Code
21	MViTV2-H (Cascade Mask R-CNN)	5.62	No	MViTv2: Improved Multiscale Vision Transformers ...	2021-12-02	Code
22	EfficientDet-D5 (EfficientNet-B5)	5.44	No	EfficientDet: Scalable and Efficient Object Dete...	2019-11-20	Code
23	VFNet (RX-101-64x4d)	5.27	No	VarifocalNet: An IoU-aware Dense Object Detector	2020-08-31	Code
24	GCNet (RX-101-32x4d-DCN)	4.38	No	GCNet: Non-local Networks Meet Squeeze-Excitatio...	2019-04-25	Code
25	CenterNet2 (R2-101-DCN)	4.29	No	Probabilistic two-stage detection	2021-03-12	Code
26	RepPointsV2 (RX-101-64x4d-DCN)	2.7	No	RepPoints V2: Verification Meets Regression for ...	2020-07-16	Code
27	GFLv2 (R2-101-DCN)	2.6	No	Generalized Focal Loss V2: Learning Reliable Loc...	2020-11-25	Code
28	YOLOX-S	2.48	No	YOLOX: Exceeding YOLO Series in 2021	2021-07-18	Code
29	UniverseNet (R2-101-DCN)	1.86	No	USB: Universal-Scale Object Detection Benchmark	2021-03-25	Code
30	YOLOS-B (ViT-B)	1.05	No	You Only Look at One Sequence: Rethinking Transf...	2021-06-01	Code
31	SSD (VGG-16)	0.36	No	SSD: Single Shot MultiBox Detector	2015-12-08	Code
32	FCOS (ResNet-50)	0.25	No	FCOS: Fully Convolutional One-Stage Object Detec...	2019-04-02	Code
33	RetinaNet (ResNet-50)	0.18	No	Focal Loss for Dense Object Detection	2017-08-07	Code
34	DyHead (ResNet-50)	0.16	No	Dynamic Head: Unifying Object Detection Heads wi...	2021-06-15	Code
35	HTC (ResNet-50)	0.08	No	Hybrid Task Cascade for Instance Segmentation	2019-01-22	Code
36	Cascade R-CNN (ResNet-50)	0.02	No	Cascade R-CNN: High Quality Object Detection and...	2019-06-24	Code
37	Mask R-CNN (ResNet-50)	-0.11	No	Mask R-CNN	2017-03-20	Code
38	YOLOv3 (DarkNet-53)	-0.37	No	YOLOv3: An Incremental Improvement	2018-04-08	Code
39	Faster R-CNN (ResNet-50-FPN)	-0.41	Yes	Faster R-CNN: Towards Real-Time Object Detection...	2015-06-04	Code
40	ATSS (ResNet-50)	-0.91	No	Bridging the Gap Between Anchor-based and Anchor...	2019-12-05	Code
41	Deformable-DETR (ResNet-50)	-1.49	No	Deformable DETR: Deformable Transformers for End...	2020-10-08	Code
42	DETR (ResNet-50)	-1.82	No	End-to-End Object Detection with Transformers	2020-05-26	Code

#1EVASOTA
28.86
Effective Robustness· 2022-11-14
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale Code
#2GLIP-L (Swin-L)SOTA
24.89
Effective Robustness· 2021-12-07
Grounded Language-Image Pre-training Code
#3DETA (Swin-L)
20.15
Effective Robustness· 2022-12-12
NMS Strikes Back Code
#4DINO (Swin-L)
15.76
Effective Robustness· 2022-03-07
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection Code
#5GRiT (ViT-H)
15.72
Effective Robustness· 2022-12-01
GRiT: A Generative Region-to-text Transformer for Object Understanding Code
#6ConvNeXt-XL (Cascade Mask R-CNN)
12.68
Effective Robustness· 2022-01-10
A ConvNet for the 2020s Code
#7CBNetV2 (Swin-L)SOTA
12.36
Effective Robustness· 2021-07-01
CBNet: A Composite Backbone Network Architecture for Object Detection Code
#8InternImage-L (Cascade Mask R-CNN)
11.72
Effective Robustness· 2022-11-10
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions Code
#9FIBER-B (Swin-B)
11.43
Effective Robustness· 2022-06-15
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone Code
#10DyHead (Swin-L)SOTA
10
Effective Robustness· 2021-06-15
Dynamic Head: Unifying Object Detection Heads with Attentions Code
#11QueryInst (Swin-L)SOTA
8.26
Effective Robustness· 2021-05-05
Instances as Queries Code
#12GLIP-T (Swin-T)
8.11
Effective Robustness· 2021-12-07
Grounded Language-Image Pre-training Code
#13ViTDet (ViT-H)
7.89
Effective Robustness· 2022-03-30
Exploring Plain Vision Transformer Backbones for Object Detection Code
#14ViT-Adapter (BEiTv2-L)
7.79
Effective Robustness· 2022-05-17
Vision Transformer Adapter for Dense Predictions Code
#15Det-AdvProp (EfficientNet-B5)SOTA
7.34
Effective Robustness· 2021-03-23
Robust and Accurate Object Detection via Adversarial Learning Code
#16YOLOX-X
7.26
Effective Robustness· 2021-07-18
YOLOX: Exceeding YOLO Series in 2021 Code
#17PVTv2-B5 (Mask R-CNN)
6.85
Effective Robustness· 2021-06-25
PVT v2: Improved Baselines with Pyramid Vision Transformer Code
#18YOLOv6-L6
6.73
Effective Robustness· 2022-09-07
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications Code
#19YOLOv7-E6E
6.42
Effective Robustness· 2022-07-06
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors Code
#20YOLOv4-P6SOTA
5.89
Effective Robustness· 2020-04-23
YOLOv4: Optimal Speed and Accuracy of Object Detection Code
#21MViTV2-H (Cascade Mask R-CNN)
5.62
Effective Robustness· 2021-12-02
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection Code
#22EfficientDet-D5 (EfficientNet-B5)SOTA
5.44
Effective Robustness· 2019-11-20
EfficientDet: Scalable and Efficient Object Detection Code
#23VFNet (RX-101-64x4d)
5.27
Effective Robustness· 2020-08-31
VarifocalNet: An IoU-aware Dense Object Detector Code
#24GCNet (RX-101-32x4d-DCN)SOTA
4.38
Effective Robustness· 2019-04-25
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond Code
#25CenterNet2 (R2-101-DCN)
4.29
Effective Robustness· 2021-03-12
Probabilistic two-stage detection Code
#26RepPointsV2 (RX-101-64x4d-DCN)
2.7
Effective Robustness· 2020-07-16
RepPoints V2: Verification Meets Regression for Object Detection Code
#27GFLv2 (R2-101-DCN)
2.6
Effective Robustness· 2020-11-25
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection Code
#28YOLOX-S
2.48
Effective Robustness· 2021-07-18
YOLOX: Exceeding YOLO Series in 2021 Code
#29UniverseNet (R2-101-DCN)
1.86
Effective Robustness· 2021-03-25
USB: Universal-Scale Object Detection Benchmark Code
#30YOLOS-B (ViT-B)
1.05
Effective Robustness· 2021-06-01
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection Code
#31SSD (VGG-16)SOTA
0.36
Effective Robustness· 2015-12-08
SSD: Single Shot MultiBox Detector Code
#32FCOS (ResNet-50)
0.25
Effective Robustness· 2019-04-02
FCOS: Fully Convolutional One-Stage Object Detection Code
#33RetinaNet (ResNet-50)
0.18
Effective Robustness· 2017-08-07
Focal Loss for Dense Object Detection Code
#34DyHead (ResNet-50)
0.16
Effective Robustness· 2021-06-15
Dynamic Head: Unifying Object Detection Heads with Attentions Code
#35HTC (ResNet-50)
0.08
Effective Robustness· 2019-01-22
Hybrid Task Cascade for Instance Segmentation Code
#36Cascade R-CNN (ResNet-50)
0.02
Effective Robustness· 2019-06-24
Cascade R-CNN: High Quality Object Detection and Instance Segmentation Code
#37Mask R-CNN (ResNet-50)
-0.11
Effective Robustness· 2017-03-20
Mask R-CNN Code
#38YOLOv3 (DarkNet-53)
-0.37
Effective Robustness· 2018-04-08
YOLOv3: An Incremental Improvement Code
#39Faster R-CNN (ResNet-50-FPN)SOTA
-0.41
Effective Robustness· Extra Data· 2015-06-04
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Code
#40ATSS (ResNet-50)
-0.91
Effective Robustness· 2019-12-05
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection Code
#41Deformable-DETR (ResNet-50)
-1.49
Effective Robustness· 2020-10-08
Deformable DETR: Deformable Transformers for End-to-End Object Detection Code
#42DETR (ResNet-50)
-1.82
Effective Robustness· 2020-05-26
End-to-End Object Detection with Transformers Code