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总结目前已发表的视频显著性检测模型

深度学习 发布于2024-10-30 阅读 1,175次 0次评论 0次点赞 本文共2121个字,阅读需要6分钟。

1 视频显著性检测模型

模型名 论文名 是否开源 Github
DeepVS DeepVS: A Deep Learning Based Video Saliency
ACLNet Revisiting Video Saliency Prediction in the Deep Learning Era https://github.com/wenguanwang/DHF1K
STRANet Video Saliency Prediction Using Spatiotemporal Residual Attentive Networks https://github.com/ashleylqx/STRA-Net
SalEMA Simple vs complex temporal recurrences for video saliency prediction https://github.com/Linardos/SalEMA
TASED-Net TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection https://github.com/MichiganCOG/TASED-Net
SalSAC SalSAC: A Video Saliency Prediction Model with Shuffled Attentions and Correlation-Based ConvLSTM
UNISAL Unified Image and Video Saliency Modeling https://github.com/rdroste/unisal
ViNet ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction https://github.com/samyak0210/ViNet
HD2S Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction https://github.com/perceivelab/hd2s
STA3D STA3D: Spatiotemporally attentive 3D network for video saliency prediction
ECANet ECANet: Explicit cyclic attention-based network for video saliency prediction
TSFP-Net Human Vision Attention Mechanism-Inspired Temporal-Spatial Feature Pyramid for Video Saliency Detection
STSANet Spatio-Temporal Self-Attention Network for Video Saliency Prediction
VSFT Video Saliency Forecasting Transformer
GFNet GFNet: gated fusion network for video saliency prediction https://github.com/wusonghe/GFNet
TinyHD TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation https://github.com/feiyanhu/tinyHD
HFTR-Net Accurate video saliency prediction via hierarchical fusion and temporal recurrence
TMFI-Net Transformer-Based Multi-Scale Feature Integration Network for Video Saliency Prediction https://github.com/wusonghe/TMFI-Net
UniST UniST: Towards Unifying Saliency Transformer for Video Saliency Prediction and Detection
MSFF-Net Multi-Scale Spatiotemporal Feature Fusion Network for Video Saliency Prediction
OFF-ViNet OFF-ViNet: Optical Flow-Based Feature Warping ViNet for Video Saliency Prediction Considering Future Prediction
TempVST The Visual Saliency Transformer Goes Temporal: TempVST for Video Saliency Prediction
THTD-Net Transformer-based Video Saliency Prediction with High Temporal Dimension Decoding

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本文作者:StubbornHuang

版权声明:本文为站长原创文章,如果转载请注明原文链接!

原文标题:总结目前已发表的视频显著性检测模型

原文链接:https://www.stubbornhuang.com/3101/

发布于:2024年10月30日 14:29:03

修改于:2024年10月30日 14:29:03

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