Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
Producing quality segmentation masks for images is a fundamental problem in computer
vision. Recent research has explored large-scale supervised training to enable zero-shot …
vision. Recent research has explored large-scale supervised training to enable zero-shot …
Bridging the gap to real-world object-centric learning
M Seitzer, M Horn, A Zadaianchuk, D Zietlow… - ar**_in_Contrastive_Vision-Language_Models_ICCV_2023_paper.pdf" data-clk="hl=ko&sa=T&oi=gga&ct=gga&cd=4&d=8007875619441193435&ei=QVuwZ6zQGNaIieoP4pXqgQk" data-clk-atid="27FNxnKwIW8J" target="_blank">[PDF] thecvf.com
Perceptual grou** in contrastive vision-language models
Recent advances in zero-shot image recognition suggest that vision-language models learn
generic visual representations with a high degree of semantic information that may be …
generic visual representations with a high degree of semantic information that may be …
Distilling self-supervised vision transformers for weakly-supervised few-shot classification & segmentation
We address the task of weakly-supervised few-shot image classification and segmentation,
by leveraging a Vision Transformer (ViT) pretrained with self-supervision. Our proposed …
by leveraging a Vision Transformer (ViT) pretrained with self-supervision. Our proposed …
Time does tell: Self-supervised time-tuning of dense image representations
Spatially dense self-supervised learning is a rapidly growing problem domain with
promising applications for unsupervised segmentation and pretraining for dense …
promising applications for unsupervised segmentation and pretraining for dense …
In defense of lazy visual grounding for open-vocabulary semantic segmentation
Abstract We present Lazy Visual Grounding for open-vocabulary semantic segmentation,
which decouples unsupervised object mask discovery from object grounding. Plenty of the …
which decouples unsupervised object mask discovery from object grounding. Plenty of the …
Rotating features for object discovery
The binding problem in human cognition, concerning how the brain represents and
connects objects within a fixed network of neural connections, remains a subject of intense …
connects objects within a fixed network of neural connections, remains a subject of intense …
Autorecon: Automated 3d object discovery and reconstruction
A fully automated object reconstruction pipeline is crucial for digital content creation. While
the area of 3D reconstruction has witnessed profound developments, the removal of …
the area of 3D reconstruction has witnessed profound developments, the removal of …