Tag: imagesegmentation
14 posts
Paper Review: SAM 3: Segment Anything with Concepts
Meta's unified model for detecting, segmenting, and tracking objects using text or image prompts — trained on 4M conc...
Paper Review: DINOv3
Meta's self-supervised vision model trained on 17 billion images, introducing Gram anchoring to prevent feature degra...
Paper Review: EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
My review of the paper EfficientSAM Leveraged Masked Image Pretraining for Efficient Segment Anything
Paper Review: Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
My review of the paper Diffuse, Attend, and Segment Unsupervised Zero-Shot Segmentation using Stable Diffusion
Paper Review: SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
My review of the paper SAM-CLIP Merging Vision Foundation Models towards Semantic and Spatial Understanding
Paper Review: SLiMe: Segment Like Me
My review of the paper SLiMe Segment Like Me
Paper Review: LISA: Reasoning Segmentation via Large Language Model
My review of the paper LISA Reasoning Segmentation via Large Language Model
Paper Review: Tracking Anything in High Quality
My review of the paper Tracking Anything in High Quality
Paper Review: UniverSeg: Universal Medical Image Segmentation
My review of the paper UniverSeg Universal Medical Image Segmentation
Paper Review: Fast Segment Anything
My review of the paper Fast Segment Anything
Paper Review: DINOv2: Learning Robust Visual Features without Supervision
How Meta built all-purpose visual features by scaling self-supervised pretraining to a curated 142M-image dataset, pr...
Paper Review: Segment Anything
My review of the paper Segment Anything
Paper Review: Cut and Learn for Unsupervised Object Detection and Instance Segmentation
My review of the paper Cut and Learn for Unsupervised Object Detection and Instance Segmentation
Paper Review: ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation
My review of the paper ObjectAug Object-level Data Augmentation for Semantic Image Segmentation .