Papers with Code 아카이브
Saliency Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
- 13
A saliency map is a model that predicts eye fixations on a visual scene. Saliency prediction is informed by the human visual attention mechanism and predicts the possibility of the human eyes to stay in a certain position in the scene.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Arhosseini77/SUM
공식 코드SUM: Saliency Unification through Mamba for Visual Attention Modeling
https://github.com/CZHQuality/Sal-CFS-GAN
공식 코드How is Gaze Influenced by Image Transformations? Dataset and Model
https://github.com/Hey1Li/Salient-Relevance-Propagation
공식 코드https://github.com/I2-Multimedia-Lab/UGRAN
공식 코드Uncertainty Guided Refinement for Fine-Grained Salient Object Detection
https://github.com/IVRL/Tempsal
공식 코드TempSAL -- Uncovering Temporal Information for Deep Saliency Prediction
https://github.com/JHang2020/Shap-Mix
공식 코드Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition
https://github.com/JingZhang617/SalCoopNets
공식 코드https://github.com/JingZhang617/UCNet
공식 코드https://github.com/MertCokelek/SalViT360
공식 코드Spherical Vision Transformer for 360-degree Video Saliency Prediction
https://github.com/MinglangQiao/MVVA-Database
공식 코드Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model
https://github.com/NVlabs/NAT-saliency
공식 코드https://github.com/SenHe/uavdvsm
공식 코드https://github.com/alexanderkroner/saliency
공식 코드Contextual Encoder-Decoder Network for Visual Saliency Prediction
https://github.com/alexkkir/sacid
공식 코드Bridging the Gap Between Saliency Prediction and Image Quality Assessment
https://github.com/angknpng/sacnet
공식 코드https://github.com/angknpng/sammese
공식 코드https://github.com/atsiami/STAViS
공식 코드https://github.com/chakkritte/SalNAS
공식 코드SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation
https://github.com/cj4L/ESAN-VSP
공식 코드Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network
https://github.com/dariozanca/FixaTons
공식 코드FixaTons: A collection of Human Fixations Datasets and Metrics for Scanpath Similarity
https://github.com/dberga/NSWAM
공식 코드https://github.com/dberga/saliency
공식 코드https://github.com/dc3234/pf
공식 코드A positive feedback method based on F-measure value for Salient Object Detection
https://github.com/duanhuiyu/arsaliency
공식 코드https://github.com/dwil2444/case-saliency
공식 코드https://github.com/feiyanhu/FastSal
공식 코드FastSal: a Computationally Efficient Network for Visual Saliency Prediction
https://github.com/feiyanhu/tinyhd
공식 코드https://github.com/fupiao1998/TrasformerSOD
공식 코드Generative Transformer for Accurate and Reliable Salient Object Detection
https://github.com/fupiao1998/transformersod
공식 코드Generative Transformer for Accurate and Reliable Salient Object Detection
https://github.com/hrtavakoli/DAVE
공식 코드DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction
https://github.com/hs-yn/paver
공식 코드Panoramic Vision Transformer for Saliency Detection in 360° Videos
https://github.com/hyf015/egocentric-gaze-prediction
공식 코드Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition
https://github.com/hz-zhu/mt-unet
공식 코드https://github.com/idip2025/cspenet
공식 코드CSPENet: Contour-Aware and Saliency Priors Embedding Network for Infrared Small Target Detection
https://github.com/ignatpolezhaev/mds-vitnet
공식 코드MDS-ViTNet: Improving saliency prediction for Eye-Tracking with Vision Transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.