https://github.com/Xiaoqi-Zhao-DLUT/GateNet-RGB-Saliency
공식 코드Suppress and Balance: A Simple Gated Network for Salient Object Detection
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RGB Salient object detection is a task-based on a visual attention mechanism, in which algorithms aim to explore objects or regions more attentive than the surrounding areas on the scene or RGB images.
<span style="color:grey; opacity: 0.6">( Image credit: Attentive Feedback Network for Boundary-Aware Salient Object Detection )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Suppress and Balance: A Simple Gated Network for Salient Object Detection
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
Learning Video Salient Object Detection Progressively from Unlabeled Videos
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection
Group Collaborative Learning for Co-Salient Object Detection
Hyperspectral Image Dataset for Benchmarking on Salient Object Detection
Inner and Inter Label Propagation: Salient Object Detection in the Wild
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation
Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection
Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection
Multi-scale Interactive Network for Salient Object Detection
Depth-Cooperated Trimodal Network for Video Salient Object Detection
Multi-interactive Dual-decoder for RGB-thermal Salient Object Detection
Multi-interactive Dual-decoder for RGB-thermal Salient Object Detection
RGBT Salient Object Detection: A Large-scale Dataset and Benchmark
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process
PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection
Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection
Video Salient Object Detection via Adaptive Local-Global Refinement
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception
Multi-view Aggregation Network for Dichotomous Image Segmentation
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.