HyperAIHyperAI
HomeNewsLatest PapersTutorialsDatasetsWikiSOTALLM ModelsGPU LeaderboardEvents
Search
About
HyperAIHyperAI

Salient Object Detection On Hku Is

Metrics

MAE

Results

Performance results of various models on this benchmark

Model Name
MAE
Paper TitleRepository
TRACER-(ResNet50)0.028TRACER: Extreme Attention Guided Salient Object Tracing Network-
CPD-R (ResNet50)0.034Cascaded Partial Decoder for Fast and Accurate Salient Object Detection-
TRACER-TE70.020TRACER: Extreme Attention Guided Salient Object Tracing Network-
M3Net-S0.019M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection-
UCNet-CVAE0.026Uncertainty Inspired RGB-D Saliency Detection-
PoolNet (VGG-16)0.03A Simple Pooling-Based Design for Real-Time Salient Object Detection-
C4Net0.025C$^{4}$Net: Contextual Compression and Complementary Combination Network for Salient Object Detection-
DSS (Res2Net-50)0.05Res2Net: A New Multi-scale Backbone Architecture-
BASNet0.032BASNet: Boundary-Aware Salient Object Detection-
UCNet-ABP0.027Uncertainty Inspired RGB-D Saliency Detection-
InSPyReNet0.028Revisiting Image Pyramid Structure for High Resolution Salient Object Detection-
CPDR-L0.028CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement-
M3Net-R0.026M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection-
HybridSOD0.038A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels-
0 of 14 row(s) selected.
Salient Object Detection On Hku Is | SOTA | HyperAI