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Saliency Detection

36 papers with code · Computer Vision

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Pyramid Feature Attention Network for Saliency detection

CVPR 2019 CaitinZhao/cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection

To solve this problem, we propose Pyramid Feature Attention network to focus on effective high-level context features and low-level spatial structural features.

SALIENCY DETECTION

Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

10 Feb 2020anvoynov/GANLatentDiscovery

The latent spaces of GAN models often have semantically meaningful directions.

SALIENCY DETECTION

PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection

CVPR 2018 Ugness/PiCANet-Implementation

We formulate the proposed PiCANet in both global and local forms to attend to global and local contexts, respectively.

SALIENCY DETECTION

Real Time Image Saliency for Black Box Classifiers

NeurIPS 2017 PiotrDabkowski/pytorch-saliency

In this work we develop a fast saliency detection method that can be applied to any differentiable image classifier.

SALIENCY DETECTION

Motion Guided Attention for Video Salient Object Detection

ICCV 2019 lhaof/Motion-Guided-Attention

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

Big GANs Are Watching You: Towards Unsupervised Object Segmentation with Off-the-Shelf Generative Models

8 Jun 2020anvoynov/BigGANsAreWatching

However, since generative models are known to be unstable and sensitive to hyperparameters, the training of these methods can be challenging and time-consuming.

SALIENCY DETECTION SEMANTIC SEGMENTATION UNSUPERVISED OBJECT SEGMENTATION

TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection

ICCV 2019 MichiganCOG/TASED-Net

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.

VIDEO SALIENCY DETECTION

Deep Saliency with Encoded Low level Distance Map and High Level Features

CVPR 2016 gylee1103/SaliencyELD

Recent advances in saliency detection have utilized deep learning to obtain high level features to detect salient regions in a scene.

SALIENCY DETECTION

Towards High-Resolution Salient Object Detection

ICCV 2019 yi94code/HRSOD

This paper pushes forward high-resolution saliency detection, and contributes a new dataset, named High-Resolution Salient Object Detection (HRSOD).

SALIENCY DETECTION SALIENT OBJECT DETECTION

Multi-source weak supervision for saliency detection

CVPR 2019 zengxianyu/mws

To this end, we propose a unified framework to train saliency detection models with diverse weak supervision sources.

SALIENCY DETECTION SALIENCY PREDICTION