https://github.com/valeoai/found
공식 코드Unsupervised Object Localization: Observing the Background to Discover Objects
Papers with Code 아카이브
Saliency Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 7
- 보존된 평가 기록
- 15
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
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wangbo-zhao/2021iccv-dlglrg
공식 코드Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidance
https://github.com/wangbo-zhao/WSVSOD
공식 코드https://github.com/weijun88/LDF
공식 코드https://github.com/wenguanwang/DHF1K
공식 코드Revisiting Video Saliency: A Large-scale Benchmark and a New Model
https://github.com/wenguanwang/SODsurvey
공식 코드Salient Object Detection in the Deep Learning Era: An In-Depth Survey
https://github.com/wh200720041/SRLCD
공식 코드Online Visual Place Recognition via Saliency Re-identification
https://github.com/wj-cv/vcp
공식 코드https://github.com/woshiyll/jcrnet
공식 코드Joint Correcting and Refinement for Balanced Low-Light Image Enhancement
https://github.com/wuyang98/CoSOD
공식 코드https://github.com/xahidbuffon/Deep-SESR
공식 코드Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception
https://github.com/xahidbuffon/SVAM-Net
공식 코드SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots
https://github.com/xahidbuffon/funie-gan
공식 코드Fast Underwater Image Enhancement for Improved Visual Perception
https://github.com/xmed-lab/urn
공식 코드https://github.com/xulianuwa/AuxSegNet
공식 코드Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation
https://github.com/xuyanyu-shh/Personalized-Saliency
공식 코드https://github.com/yangli-xjtu/SDS
공식 코드Saliency detection based on structural dissimilarity induced by image quality assessment model
https://github.com/yangziyu/npf200
공식 코드NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos
https://github.com/yi94code/HRSOD
공식 코드https://github.com/yiling-chen/flickr-cropping-dataset
공식 코드Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study
https://github.com/yoursever/fakeparaegg
공식 코드Copy-Move Detection in Optical Microscopy: A Segmentation Network and A Dataset
https://github.com/ysyscool/DINet
공식 코드https://github.com/yuhuan-wu/P2T
공식 코드https://github.com/yun-liu/DNA
공식 코드DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection
https://github.com/zengxianyu/jsws
공식 코드Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation
https://github.com/zengxianyu/mws
공식 코드https://github.com/zhengpeng7/cosod_fps_collection
공식 코드GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector
https://github.com/zhengpeng7/gconet_plus
공식 코드GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector
https://github.com/zhengpeng7/mccl
공식 코드Memory-aided Contrastive Consensus Learning for Co-salient Object Detection
https://github.com/zongwei97/rfnet
공식 코드https://github.com/zwbx/BTS-Net
공식 코드BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object Detection
https://github.com/zzy816/corp
공식 코드Co-Salient Object Detection with Co-Representation Purification
https://gitlab.com/abanitalebi/lbvs-3d
공식 코드A Learning-Based Visual Saliency Prediction Model for Stereoscopic 3D Video (LBVS-3D)
https://gitlab.com/abanitalebi/lbvs-hdr
공식 코드A Learning-Based Visual Saliency Fusion Model for High Dynamic Range Video (LBVS-HDR)
https://dagshub.com/Bharat-mtr/EGNet
https://gitee.com/dakerqinqi/wslnet
A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.