Object Detection on DIS-TE3

Metric: MAE (lower is better)

LeaderboardDataset

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#	Model↕	MAE▲	Extra Data	Paper	Date↕	Code
1	PDFNet	0.027	No	Patch-Depth Fusion: Dichotomous Image Segmentati...	2025-03-08	Code
2	BiRefNet	0.03	No	Bilateral Reference for High-Resolution Dichotom...	2024-01-07	Code
3	MVANet	0.031	No	Multi-view Aggregation Network for Dichotomous I...	2024-04-11	Code
4	InSPyReNet (HR scale)	0.034	No	Revisiting Image Pyramid Structure for High Reso...	2022-09-20	Code
5	InSPyReNet	0.038	No	Revisiting Image Pyramid Structure for High Reso...	2022-09-20	Code
6	IS-Net	0.064	No	Highly Accurate Dichotomous Image Segmentation	2022-03-06	Code
7	MBV3	0.078	No	Searching for MobileNetV3	2019-05-06	Code
8	U2Net	0.079	No	U$^2$-Net: Going Deeper with Nested U-Structure ...	2020-05-18	Code
9	HySM	0.079	No	HyperSeg: Patch-wise Hypernetwork for Real-time ...	2020-12-21	Code
10	HRNet	0.08	No	Deep High-Resolution Representation Learning for...	2019-08-20	Code
11	BASNet	0.083	No	-	-	Code
12	STDC	0.09	No	Rethinking BiSeNet For Real-time Semantic Segmen...	2021-04-27	Code
13	ICNet	0.091	No	ICNet for Real-Time Semantic Segmentation on Hig...	2017-04-27	Code
14	PFNet	0.092	No	Camouflaged Object Segmentation with Distraction...	2021-04-21	Code
15	PSPNet	0.092	No	Pyramid Scene Parsing Network	2016-12-04	Code
16	F3Net	0.092	No	F3Net: Fusion, Feedback and Focus for Salient Ob...	2019-11-26	Code
17	SINetV2	0.096	No	Concealed Object Detection	2021-02-20	Code
18	UNet	0.098	No	U-Net: Convolutional Networks for Biomedical Ima...	2015-05-18	Code
19	DeeplabV3+	0.102	No	Rethinking Atrous Convolution for Semantic Image...	2017-06-17	Code
20	GateNet	0.103	No	Suppress and Balance: A Simple Gated Network for...	2020-07-16	Code
21	BSV1	0.109	No	BiSeNet: Bilateral Segmentation Network for Real...	2018-08-02	Code
22	GCPANet	0.109	No	Global Context-Aware Progressive Aggregation Net...	2020-03-02	Code

#1PDFNetSOTA
0.027
MAE· 2025-03-08
Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior Code
#2BiRefNetSOTA
0.03
MAE· 2024-01-07
Bilateral Reference for High-Resolution Dichotomous Image Segmentation Code
#3MVANet
0.031
MAE· 2024-04-11
Multi-view Aggregation Network for Dichotomous Image Segmentation Code
#4InSPyReNet (HR scale)SOTA
0.034
MAE· 2022-09-20
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection Code
#5InSPyReNetSOTA
0.038
MAE· 2022-09-20
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection Code
#6IS-NetSOTA
0.064
MAE· 2022-03-06
Highly Accurate Dichotomous Image Segmentation Code
#7MBV3SOTA
0.078
MAE· 2019-05-06
Searching for MobileNetV3 Code
#8U2Net
0.079
MAE· 2020-05-18
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection Code
#9HySM
0.079
MAE· 2020-12-21
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation Code
#10HRNet
0.08
MAE· 2019-08-20
Deep High-Resolution Representation Learning for Visual Recognition Code
#11BASNet
0.083
MAE
No paperCode
#12STDC
0.09
MAE· 2021-04-27
Rethinking BiSeNet For Real-time Semantic Segmentation Code
#13ICNetSOTA
0.091
MAE· 2017-04-27
ICNet for Real-Time Semantic Segmentation on High-Resolution Images Code
#14PFNet
0.092
MAE· 2021-04-21
Camouflaged Object Segmentation with Distraction Mining Code
#15PSPNetSOTA
0.092
MAE· 2016-12-04
Pyramid Scene Parsing Network Code
#16F3Net
0.092
MAE· 2019-11-26
F3Net: Fusion, Feedback and Focus for Salient Object Detection Code
#17SINetV2
0.096
MAE· 2021-02-20
Concealed Object Detection Code
#18UNetSOTA
0.098
MAE· 2015-05-18
U-Net: Convolutional Networks for Biomedical Image Segmentation Code
#19DeeplabV3+
0.102
MAE· 2017-06-17
Rethinking Atrous Convolution for Semantic Image Segmentation Code
#20GateNet
0.103
MAE· 2020-07-16
Suppress and Balance: A Simple Gated Network for Salient Object Detection Code
#21BSV1
0.109
MAE· 2018-08-02
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation Code
#22GCPANet
0.109
MAE· 2020-03-02
Global Context-Aware Progressive Aggregation Network for Salient Object Detection Code