Saliency Detection
Leaderboards
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Greatest papers with code
Pyramid Feature Attention Network for Saliency detection
CVPR 2019
• CaitinZhao/cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection
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To solve this problem, we propose Pyramid Feature Attention network to focus on effective high-level context features and low-level spatial structural features.
SOTA for Saliency Detection on DUTS-test
PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection
CVPR 2018
• Ugness/PiCANet-Implementation
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We formulate the proposed PiCANet in both global and local forms to attend to global and local contexts, respectively.
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
• anvoynov/GANLatentDiscovery
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The latent spaces of typical GAN models often have semantically meaningful directions.
Real Time Image Saliency for Black Box Classifiers
NeurIPS 2017
• PiotrDabkowski/pytorch-saliency
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In this work we develop a fast saliency detection method that can be applied to any differentiable image classifier.
Motion Guided Attention for Video Salient Object Detection
ICCV 2019
• lhaof/Motion-Guided-Attention
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In this paper, we develop a multi-task motion guided video salient object detection network, which learns to accomplish two sub-tasks using two sub-networks, one sub-network for salient object detection in still images and the other for motion saliency detection in optical flow images.
OPTICAL FLOW ESTIMATION SALIENCY DETECTION VIDEO SALIENT OBJECT DETECTION
Deep Saliency with Encoded Low level Distance Map and High Level Features
Recent advances in saliency detection have utilized deep learning to obtain high level features to detect salient regions in a scene.
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection
ICCV 2019
• MichiganCOG/TASED-Net
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It consists of two building blocks: first, the encoder network extracts low-resolution spatiotemporal features from an input clip of several consecutive frames, and then the following prediction network decodes the encoded features spatially while aggregating all the temporal information.
Learning to Promote Saliency Detectors
The categories and appearance of salient objects vary from image to image, therefore, saliency detection is an image-specific task.
Towards High-Resolution Salient Object Detection
This paper pushes forward high-resolution saliency detection, and contributes a new dataset, named High-Resolution Salient Object Detection (HRSOD).
Multi-source weak supervision for saliency detection
To this end, we propose a unified framework to train saliency detection models with diverse weak supervision sources.