Papers with Code 아카이브
Video Salient Object Detection
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Video salient object detection (VSOD) is significantly essential for understanding the underlying mechanism behind HVS during free-viewing in general and instrumental to a wide range of real-world applications, e.g., video segmentation, video captioning, video compression, autonomous driving, robotic interaction, weakly supervised attention. Besides its academic value and practical significance, VSOD presents great difficulties due to the challenges carried by video data (diverse motion patterns, occlusions, blur, large object deformations, etc.) and the inherent complexity of human visual attention behavior (i.e., selective attention allocation, attention shift) during dynamic scenes. Online benchmark: http://dpfan.net/davsod.
<span style="color:grey; opacity: 0.6">( Image credit: Shifting More Attention to Video Salient Object Detection, CVPR2019-Best Paper Finalist )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/GewelsJI/FSNet
공식 코드https://github.com/NUST-Machine-Intelligence-Laboratory/HFAN
공식 코드Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation
https://github.com/TJUMMG/DS-Net
공식 코드DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection
https://github.com/bradleybin/locate-globally-segment-locally-a-progressive-architecture-with-knowledge-review-network-for-sod
공식 코드Learning Video Salient Object Detection Progressively from Unlabeled Videos
https://github.com/guotaowang/STVS
공식 코드https://github.com/hy0523/mtnet
공식 코드Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation
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/luyukang/DCTNet
공식 코드Depth-Cooperated Trimodal Network for Video Salient Object Detection
https://github.com/piggy2021/ALGRF
공식 코드Video Salient Object Detection via Adaptive Local-Global Refinement
https://github.com/qduOliver/MQP
공식 코드A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception
https://github.com/suyukun666/UFO
공식 코드https://github.com/wangbo-zhao/WSVSOD
공식 코드https://github.com/zhaoxing2022/mmn-vsod
공식 코드Motion-aware Memory Network for Fast Video Salient Object Detection
https://github.com/zwbx/DFM-Net
공식 코드Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object Detection
https://github.com/DengPingFan/DAVSOD
https://github.com/Kinpzz/RCRNet-Pytorch
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
https://github.com/cj4L/MST-python
https://github.com/kerenfu/rdvs
Depth-Cooperated Trimodal Network for Video Salient Object Detection
https://github.com/lhaof/Salient-Object-Detection-Papers
https://github.com/lhaof/fast-salient-object-detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.