https://github.com/Ugness/PiCANet-Implementation
PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection
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/Wu0409/HSC_WSSS
https://github.com/YangtaoWANG95/TokenCut
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut
https://github.com/ZhaoJ9014/Multi-Human-Parsing
https://github.com/alililia/u2net_Ascend
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
https://github.com/alililia/u2net_GPU
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
https://github.com/anandhupvr/Mining-Objects
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features
https://github.com/annahedstroem/sanity-checks-revisited
https://github.com/cai199626/PDNet
PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detection
https://github.com/chenxy99/ANOC
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model
https://github.com/chjort/u2net
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
https://github.com/code-implementation1/Code3/tree/main/EGnet
https://github.com/come880412/STSANet
Spatio-Temporal Self-Attention Network for Video Saliency Prediction
https://github.com/dariozanca/eymol
https://github.com/davidGCR/saliencyMapper
https://github.com/dengpingfan/fsgan
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
https://github.com/dizaiyoufang/pytorch_PFAN
https://github.com/fhshen2022/prunerepaint
https://github.com/gradio-app/saliency
Contextual Encoder-Decoder Network for Visual Saliency Prediction
https://github.com/gylee1103/ELDNet
Deep Saliency with Encoded Low level Distance Map and High Level Features
https://github.com/gylee1103/SaliencyELD
Deep Saliency with Encoded Low level Distance Map and High Level Features
https://github.com/hahahappyboy/GANForCartoon
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
https://github.com/halbielee/EPS
https://github.com/hhaAndroid/u2net
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
https://github.com/horanyinora/gazeworkshop.github.io
TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking
https://github.com/houqb/DSS
Deeply supervised salient object detection with short connections
https://github.com/huchuanlu/15_7
Inner and Inter Label Propagation: Salient Object Detection in the Wild
https://github.com/hyf015/gaze_prediction
Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition
https://github.com/imatge-upc/egocentric-2016-saliency
https://github.com/imatge-upc/saliency-2018-videosalgan
https://github.com/imatge-upc/saliency-2019-SalBCE
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
https://github.com/imatge-upc/saliency-salgan-2017
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
https://github.com/islab-sophia/odisal
DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling
https://github.com/jendawkins/saliencySanity
https://github.com/jiean001/models_m/tree/main/EGnet
https://github.com/jiwei0921/CoNet
Accurate RGB-D Salient Object Detection via Collaborative Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.