https://gitee.com/HarveyYeung/GLNet-TCYB2022-MindSpore.git
공식 코드Global-and-Local Collaborative Learning for Co-Salient Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Saliency Detection is a preprocessing step in computer vision which aims at finding salient objects in an image.
Source: An Unsupervised Game-Theoretic Approach to Saliency Detection
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Global-and-Local Collaborative Learning for Co-Salient Object Detection
Improving Landmark Recognition using Saliency detection and Feature classification
SUM: Saliency Unification through Mamba for Visual Attention Modeling
How is Gaze Influenced by Image Transformations? Dataset and Model
PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detection
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image Attenuation
Uncertainty Guided Refinement for Fine-Grained Salient Object Detection
TempSAL -- Uncovering Temporal Information for Deep Saliency Prediction
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition
Spherical Vision Transformer for 360-degree Video Saliency Prediction
Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
Accurate RGB-D Salient Object Detection via Collaborative Learning
ASOD60K: An Audio-Induced Salient Object Detection Dataset for Panoramic Videos
Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object Segmentation
DFNet: Discriminative feature extraction and integration network for salient object detection
DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection
A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video Data
MOVE: Unsupervised Movable Object Segmentation and Detection
Contextual Encoder-Decoder Network for Visual Saliency Prediction
Bridging the Gap Between Saliency Prediction and Image Quality Assessment
Learning Adaptive Fusion Bank for Multi-modal Salient Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.