Segment objects in new domain by unsupervised training with boxes in old domain with WUDA
Simpler unsupervised object segmentation in videos using spectral clustering with SSL-VOS
Better segmentation by using the distribution of categories with MCIBI++
Self-supervised segmentation by students using transformers and CNN with TCC
Improve segmentation of unknown objects by using a single stage with SOIS
Segment scene in new target domain with unsupervised learning by paste target into source with EHTDI
Segment scene using words in the caption using one stage with PPMN
Improve segmentation of occluded objects by using 2 layers to model occlusion with BCNet
Improve segmentation of close objects in video using optical flow with BATMAN
Segment an object into parts with only one example by using GAN with PFTGAN
Better object segmentation in video by using only high quality memorized frames with QDMN
Improved object segmentation using feature and mask guidance with IS-Net
Handle object segmentation in long videos using working and long-term memories with XMem
Segment object by encode differences and drop duplicates with Semantic Sorting and Contrastive Flow
Improve object segmentation in video using an adaptive object proxy with AOP
Survey of semantic segmentation in urban scenes with CV-3315-Is-All-You-Need
Better image segmentation with few examples by using multiple relevant feature maps and with MSANet
Adapt visual tasks to new domain without source domain data with DistillAdapt
Better object segmentation of unknown objects using region awareness with RAML
3D shape, segmentation, appearance, and object poses from images using neural fields with PNF