https://github.com/YunX17/AdaptSaliency
공식 코드A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video Data
Papers with Code 아카이브
Video Saliency Detection
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Video Saliency Detection is the process of detecting or predicting the most visually important or attention-grabbing regions in video sequence. This regions are where humans most likely focus their attention when watching the video.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/alexanderkroner/saliency
공식 코드Contextual Encoder-Decoder Network for Visual Saliency Prediction
https://github.com/cj4L/ESAN-VSP
공식 코드Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network
https://github.com/guotaowang/STANet
공식 코드Weakly Supervised Visual-Auditory Fixation Prediction with Multigranularity Perception
https://github.com/guotaowang/STVS
공식 코드https://github.com/hs-yn/paver
공식 코드Panoramic Vision Transformer for Saliency Detection in 360° Videos
https://github.com/idt-iti/ca-sum-360
공식 코드An Integrated System for Spatio-Temporal Summarization of 360-degrees Videos
https://github.com/imatge-upc/SalEMA
공식 코드Simple vs complex temporal recurrences for video saliency prediction
https://github.com/jhl-det/rgbd_video_sod
공식 코드ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection
https://github.com/knowledgetechnologyuhh/gasp
공식 코드https://github.com/kylemin/TASED-Net
공식 코드TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection
https://github.com/msu-video-group/ECCVW24_Saliency_Prediction
공식 코드AIM 2024 Challenge on Video Saliency Prediction: Methods and Results
https://github.com/perceivelab/hd2s
공식 코드Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction
https://github.com/rdroste/unisal
공식 코드https://github.com/samyak0210/ViNet
공식 코드ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction
https://github.com/songsook/scdl
공식 코드https://github.com/wangbo-zhao/WSVSOD
공식 코드https://github.com/wenguanwang/DHF1K
공식 코드Revisiting Video Saliency: A Large-scale Benchmark and a New Model
https://github.com/ysyscool/DINet
공식 코드https://github.com/Linardos/SalEMA
Simple vs complex temporal recurrences for video saliency prediction
https://github.com/gradio-app/saliency
Contextual Encoder-Decoder Network for Visual Saliency Prediction
https://github.com/lcc157/code
https://github.com/nvinden/7ChannelEML
Contextual Encoder-Decoder Network for Visual Saliency Prediction
https://github.com/remega/OMCNN_2CLSTM
https://github.com/yahsieh37/Visual-Saliency-Prediction
Contextual Encoder-Decoder Network for Visual Saliency Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.