Dynamic Knowledge Distillation With Noise Elimination for RGB-D Salient Object Detection
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Updated
May 12, 2021 - Python
Dynamic Knowledge Distillation With Noise Elimination for RGB-D Salient Object Detection
A comparison of Sod's shock tube as simulated by Aither with the exact solution.
SA-DETR: Saliency Attention-based DETR for Salienct Object Detection
Learning Adaptive Fusion Bank for Multi-modal Salient Object Detection
Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified Benchmark
Implementation of 'Attention-guided Feature Fusion for Small Object Detection'
Code for NeurIPS 2021 paper. "Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection".
[TIP 2022] official repo of "Weakly Supervised RGB-D Salient Object Detection with Prediction Consistency Training and Active Scribble Boosting"
Python tools for evaluating Salient Object Detection (SOD) models on benchmark datasets
This research is based on efficient saliency detection using deformable convolutions.
CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection
Bilateral Attention Network for RGB-D Salient Object Detection
A more complete python version (GPU) of the evaluation for salient object detection (with S-measure, Fbw measure, MAE, max/mean/adaptive F-measure, max/mean/adaptive E-measure, PRcurve and F-measure curve)
Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection, CVPR 2022
(TPAMI2022) Salient Object Detection via Integrity Learning.
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