Salient Object Detection

235 papers with code • 6 benchmarks • 16 datasets

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Libraries

Use these libraries to find Salient Object Detection models and implementations

Most implemented papers

Res2Net: A New Multi-scale Backbone Architecture

rwightman/pytorch-image-models 2 Apr 2019

We evaluate the Res2Net block on all these models and demonstrate consistent performance gains over baseline models on widely-used datasets, e. g., CIFAR-100 and ImageNet.

U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection

NathanUA/U-2-Net 18 May 2020

In this paper, we design a simple yet powerful deep network architecture, U$^2$-Net, for salient object detection (SOD).

RGB-D Salient Object Detection: A Survey

taozh2017/RGBD-SODsurvey 1 Aug 2020

Further, considering that the light field can also provide depth maps, we review SOD models and popular benchmark datasets from this domain as well.

EGNet: Edge Guidance Network for Salient Object Detection

mindspore-ai/models ICCV 2019

In the second step, we integrate the local edge information and global location information to obtain the salient edge features.

Reverse Attention-Based Residual Network for Salient Object Detection

mindspore-ai/models IEEE Transactions on Image Processing 2020

Benefiting from the quick development of deep convolutional neural networks, especially fully convolutional neural networks (FCNs), remarkable progresses have been achieved on salient object detection recently.

A Simple Pooling-Based Design for Real-Time Salient Object Detection

backseason/PoolNet CVPR 2019

We further design a feature aggregation module (FAM) to make the coarse-level semantic information well fused with the fine-level features from the top-down pathway.

Deeply supervised salient object detection with short connections

houqb/DSS CVPR 2017

Recent progress on saliency detection is substantial, benefiting mostly from the explosive development of Convolutional Neural Networks (CNNs).

F3Net: Fusion, Feedback and Focus for Salient Object Detection

weijun88/F3Net 26 Nov 2019

Furthermore, different from binary cross entropy, the proposed PPA loss doesn't treat pixels equally, which can synthesize the local structure information of a pixel to guide the network to focus more on local details.

HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS

james128333/HarDNet-MSEG 18 Jan 2021

The decoder part is inspired by the Cascaded Partial Decoder, known for fast and accurate salient object detection.

Reverse Attention for Salient Object Detection

ShuhanChen/RAS_ECCV18 ECCV 2018

Benefit from the quick development of deep learning techniques, salient object detection has achieved remarkable progresses recently.