Segment 3D object using 2D instance masks from RGB-D frames with Open3DIS

Segment unknown objects using VLM to filter texts and enhance masks with CLIP as RNN

Segment 3D scene with only class existence tags by using scene primitives with Densify Your Labels

Segment object with few examples using multi-level prototype generation with Bao

Segment scene in unknown domains by efficiently fine-tuning Vision Foundation Models with Rein

Segment object with only image labels using CLIP and SAM to make segmentation seeds with Yang

Segment areas, objects, and parts in a scene at the same time with JPPF

Segment scene using information from vision-language models without neural training with PnP-OVSS

Segment scene using vision-language models for diverse semantic knowledge with SemiVL

Segment image into open set of categories using cost from a hierarchical encoder with SED

Segment image with one example using model correspondence between example and target with SEGIC

Segment scene with RGB-D images by efficiently fusing RGB and depth features with MIPANet

Segmentation and depth using generalized cluster prediction with mask transformer with PolyMaX

Segment objects in scene after training only on object types with SISeg

Segment scene unsupervised using close features have similar semantics with SmooSeg

Segment scene in new domain unsupervised by refine pseudo labels and predict noisy labels with PRN

Segment scene unsupervised using pixel clustering with Hoang

Survey of incremental semantic segmentation

Object detection and segmentation with a simple transformer using scale-aware attention with SimPLR

Segment object with only image labels and paying attention to entire parts of objects with COMNet