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Found 9 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.
S^2Former-OR: Single-Stage Bimodal Transformer for Scene Graph Generation in OR
In this study, we introduce a novel single-stage bimodal transformer framework for SGG in the OR, termed S^2Former-OR, aimed to complementally leverage multi-view 2D scenes and 3D point clouds for SGG in an end-to-end manner.
A Unified Query-based Paradigm for Camouflaged Instance Segmentation
Due to the high similarity between camouflaged instances and the background, the recently proposed camouflaged instance segmentation (CIS) faces challenges in accurate localization and instance segmentation.
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.
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.
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.
