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Found 10 papers, 5 papers with code
Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms
A comprehensive understanding of surgical scenes allows for monitoring of the surgical process, reducing the occurrence of accidents and enhancing efficiency for medical professionals.
Synthetic Data in AI: Challenges, Applications, and Ethical Implications
In the rapidly evolving field of artificial intelligence, the creation and utilization of synthetic datasets have become increasingly significant.
Partitioned Saliency Ranking with Dense Pyramid Transformers
The ranking by partition paradigm alleviates ranking ambiguities in a general sense, as it consistently improves the performance of other saliency ranking models.
Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation
First, a dual-size input feeds into the shared backbone to produce more holistic and detailed features while keeping the model lightweight.
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation
We propose a novel approach for RGB-D salient instance segmentation using a dual-branch cross-modal feature calibration architecture called CalibNet.
LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise
In general, LeNo consists of a simple shallow noise and noise estimation that embedded in the encoder and decoder of arbitrary SOD networks respectively.
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers
We present OSFormer, the first one-stage transformer framework for camouflaged instance segmentation (CIS).
Salient Instance Segmentation with Region and Box-level Annotations
To this end, we present a cyclic global context salient instance segmentation network (CGCNet), which is supervised by the combination of salient regions and bounding boxes from the ready-made salient object detection datasets.
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net
The clinical treatment of degenerative and developmental lumbar spinal stenosis (LSS) is different.
Salient Instance Segmentation via Subitizing and Clustering
The experimental results on both salient region detection and salient instance segmentation datasets demonstrate the satisfactory performance of our framework.
