Segment scene in new domain using multiple sets of discrepancy features with Feng

Real-time unsupervised video object segmentation by training with images and optical flow with TMO

Segment scene in new domain with one image using adversarial refinement with SITTA-SEG

Real-time video object segmentation by using global assignment and semantic features with TCOVIS

Segment object in video from text description by global information from object queries with TempCD

Segment unknown object match text description by generative and discriminative models with Ref-Diff

Segment scene in new domain with semi-supervised learning by intra-domain target information with Fu

Segment object in new domain with few examples using intra-domain feature information with RestNet

Segmentation unknown object using unsupervised learning and stable diffusion with DiffSeg

Segment object with one or few examples using cross-image mutual dependencies with MCE

Segment unknown objects using transformers by stopping the gradient using SWORD

Weakly supervised segmentation using multi-class transformer with MCTformer+

Segment objects using semantic segmentation masks without additional manual labeling with TFISeg

Segment objects using graph neural networks with second-order similarity with PVG

Semi-supervised segmentation using learning with augmentation in image and feature space with DSSN

Segment objects with limited labels by collaboration of output and representation spaces with CSS

Survey of unknown object detection and segmentation

Segment objects at many granularities by generating masks at multiple levels with Semantic-SAM

Segment untrained objects by grouping visual features and enhancing descriptions with O3S

Segment object in video from text description using inter-frame and vision-language with IFIRVOS