2D Object Detection on PASCAL VOC 2007

Metric: MAP (higher is better)

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#	Model↕	MAP▼	Augmentations	Paper	Date↕	Code
1	WeakSAM-MIST-DINO (with SAM)	73.4	No	WeakSAM: Segment Anything Meets Weakly-supervise...	2024-02-22	Code
2	WeakSAM-MIST-Faster RCNN (with SAM)	71.8	No	WeakSAM: Segment Anything Meets Weakly-supervise...	2024-02-22	Code
3	WeakSAM-MIST (with SAM)	67.4	No	WeakSAM: Segment Anything Meets Weakly-supervise...	2024-02-22	Code
4	WeakSAM-OICR-DINO (with SAM)	66.1	No	WeakSAM: Segment Anything Meets Weakly-supervise...	2024-02-22	Code
5	WeakSAM-OICR-Faster RCNN (with SAM)	65.7	No	WeakSAM: Segment Anything Meets Weakly-supervise...	2024-02-22	Code
6	ORE (MDef-DETR)	64.03	No	Class-agnostic Object Detection with Multi-modal...	2021-11-22	Code
7	WeakSAM-OICR (with SAM)	58.9	No	WeakSAM: Segment Anything Meets Weakly-supervise...	2024-02-22	Code
8	wetectron (single mode, 07+12)	58.1	Yes	Instance-aware, Context-focused, and Memory-effi...	2020-04-09	Code
9	CASD(VGG16)	56.8	No	Comprehensive Attention Self-Distillation for We...	2020-10-22	Code
10	ORE	56.34	No	Towards Open World Object Detection	2021-03-03	Code
11	OD-WSCL	56.1	No	Object Discovery via Contrastive Learning for We...	2022-08-16	Code
12	wetectron(single-model)	54.9	No	Instance-aware, Context-focused, and Memory-effi...	2020-04-09	Code
13	Our-Ens	54.5	No	Towards Precise End-to-end Weakly Supervised Obj...	2019-11-27	Code
14	Pred Net (Ens)	53.6	No	Dissimilarity Coefficient based Weakly Supervise...	2018-11-25	-
15	WSOD2	53.6	No	WSOD^2: Learning Bottom-up and Top-down Objectne...	2019-09-11	-
16	C-MIDN	53.6	No	-	-	-
17	FRCNN C-MIL	53.1	No	C-MIL: Continuation Multiple Instance Learning f...	2019-04-11	Code
18	Ours+FRCNN	52.6	No	Utilizing the Instability in Weakly Supervised O...	2019-06-14	-
19	OIM+IR+FRCNN	52.6	No	Object Instance Mining for Weakly Supervised Obj...	2020-02-04	Code
20	WS-JDS FRCNN	52.5	No	-	-	Code
21	WSD+PGE+PGA+FSD2	52.4	No	-	-	-
22	PGE (Ours + FRCNN)	52.1	No	Object-Aware Instance Labeling for Weakly Superv...	2019-08-10	-
23	pipeline method	51.2	No	Multi-Evidence Filtering and Fusion for Multi-La...	2018-02-26	-
24	PCL-OB-G-Ens + FRCNN	48.8	No	PCL: Proposal Cluster Learning for Weakly Superv...	2018-07-09	Code
25	Ours+PRS	48.8	No	WSOD with PSNet and Box Regression	2019-11-26	-
26	ZLDN-L	47.6	No	Zigzag Learning for Weakly Supervised Object Det...	2018-04-25	-
27	MELM	47.3	No	Min-Entropy Latent Model for Weakly Supervised O...	2019-02-16	Code
28	OICR-Ens + FRCNN	47	No	Multiple Instance Detection Network with Online ...	2017-04-01	Code
29	OICR + W-RPN	46.9	No	-	-	-
30	SegAgg-Adapt	46.2	No	-	-	-
31	VGPMIL	46.1	No	-	-	Code
32	WebRelETH	46	Yes	Exploiting Web Images for Weakly Supervised Obje...	2017-07-27	-
33	SegAgg	43.9	No	-	-	-
34	Deep Self-Taught Learning	43.7	No	Deep Self-Taught Learning for Weakly Supervised ...	2017-04-18	-
35	WCCN	42.8	No	Weakly Supervised Cascaded Convolutional Networks	2016-11-24	-
36	MSLPD	41.7	No	Few-Example Object Detection with Model Communic...	2017-06-26	Code
37	Our scheme	40.9	No	-	-	-
38	WSDDN-Ens	39.3	No	Weakly Supervised Deep Detection Networks	2015-11-09	Code
39	Self-Paced Learning	38.11	No	Self Paced Deep Learning for Weakly Supervised O...	2016-05-24	Code
40	NSOD	38	Yes	Training Object Detectors from Few Weakly-Labele...	2019-12-01	-
41	WSDDN + context	36.3	No	ContextLocNet: Context-Aware Deep Network Models...	2016-09-14	Code
42	Self-paced curriculum learning	31.3	No	Bridging Saliency Detection to Weakly Supervised...	2017-03-03	-
43	Cover + SLSVM	22.7	No	On learning to localize objects with minimal sup...	2014-03-05	-

#1WeakSAM-MIST-DINO (with SAM)SOTA
73.4
MAP· 2024-02-22
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition Code
#2WeakSAM-MIST-Faster RCNN (with SAM)
71.8
MAP· 2024-02-22
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition Code
#3WeakSAM-MIST (with SAM)
67.4
MAP· 2024-02-22
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition Code
#4WeakSAM-OICR-DINO (with SAM)
66.1
MAP· 2024-02-22
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition Code
#5WeakSAM-OICR-Faster RCNN (with SAM)
65.7
MAP· 2024-02-22
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition Code
#6ORE (MDef-DETR)SOTA
64.03
MAP· 2021-11-22
Class-agnostic Object Detection with Multi-modal Transformer Code
#7WeakSAM-OICR (with SAM)
58.9
MAP· 2024-02-22
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition Code
#8wetectron (single mode, 07+12)SOTA
58.1
MAP· Augmentations· 2020-04-09
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection Code
#9CASD(VGG16)
56.8
MAP· 2020-10-22
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection Code
#10ORE
56.34
MAP· 2021-03-03
Towards Open World Object Detection Code
#11OD-WSCL
56.1
MAP· 2022-08-16
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection Code
#12wetectron(single-model)
54.9
MAP· 2020-04-09
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection Code
#13Our-EnsSOTA
54.5
MAP· 2019-11-27
Towards Precise End-to-end Weakly Supervised Object Detection Network Code
#14Pred Net (Ens)SOTA
53.6
MAP· 2018-11-25
Dissimilarity Coefficient based Weakly Supervised Object Detection
#15WSOD2
53.6
MAP· 2019-09-11
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection
#16C-MIDN
53.6
MAP
No paper
#17FRCNN C-MIL
53.1
MAP· 2019-04-11
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection Code
#18Ours+FRCNN
52.6
MAP· 2019-06-14
Utilizing the Instability in Weakly Supervised Object Detection
#19OIM+IR+FRCNN
52.6
MAP· 2020-02-04
Object Instance Mining for Weakly Supervised Object Detection Code
#20WS-JDS FRCNN
52.5
MAP
No paperCode
#21WSD+PGE+PGA+FSD2
52.4
MAP
No paper
#22PGE (Ours + FRCNN)
52.1
MAP· 2019-08-10
Object-Aware Instance Labeling for Weakly Supervised Object Detection
#23pipeline methodSOTA
51.2
MAP· 2018-02-26
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning
#24PCL-OB-G-Ens + FRCNN
48.8
MAP· 2018-07-09
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection Code
#25Ours+PRS
48.8
MAP· 2019-11-26
WSOD with PSNet and Box Regression
#26ZLDN-L
47.6
MAP· 2018-04-25
Zigzag Learning for Weakly Supervised Object Detection
#27MELM
47.3
MAP· 2019-02-16
Min-Entropy Latent Model for Weakly Supervised Object Detection Code
#28OICR-Ens + FRCNNSOTA
47
MAP· 2017-04-01
Multiple Instance Detection Network with Online Instance Classifier Refinement Code
#29OICR + W-RPN
46.9
MAP
No paper
#30SegAgg-Adapt
46.2
MAP
No paper
#31VGPMIL
46.1
MAP
No paperCode
#32WebRelETH
46
MAP· Augmentations· 2017-07-27
Exploiting Web Images for Weakly Supervised Object Detection
#33SegAgg
43.9
MAP
No paper
#34Deep Self-Taught Learning
43.7
MAP· 2017-04-18
Deep Self-Taught Learning for Weakly Supervised Object Localization
#35WCCNSOTA
42.8
MAP· 2016-11-24
Weakly Supervised Cascaded Convolutional Networks
#36MSLPD
41.7
MAP· 2017-06-26
Few-Example Object Detection with Model Communication Code
#37Our scheme
40.9
MAP
No paper
#38WSDDN-EnsSOTA
39.3
MAP· 2015-11-09
Weakly Supervised Deep Detection Networks Code
#39Self-Paced Learning
38.11
MAP· 2016-05-24
Self Paced Deep Learning for Weakly Supervised Object Detection Code
#40NSOD
38
MAP· Augmentations· 2019-12-01
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images
#41WSDDN + context
36.3
MAP· 2016-09-14
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization Code
#42Self-paced curriculum learning
31.3
MAP· 2017-03-03
Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning
#43Cover + SLSVMSOTA
22.7
MAP· 2014-03-05
On learning to localize objects with minimal supervision