One-Shot Segmentation

9 papers with code • 1 benchmarks • 1 datasets

Most implemented papers

One-Shot Learning for Semantic Segmentation

lzzcd001/OSLSM 11 Sep 2017

Low-shot learning methods for image classification support learning from sparse data.

One-Shot Segmentation in Clutter

michaelisc/cluttered-omniglot ICML 2018

We tackle the problem of one-shot segmentation: finding and segmenting a previously unseen object in a cluttered scene based on a single instruction example.

BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation

Wi-sc/BriNet 14 Aug 2020

(2) The object categories at the training and inference stages have no overlap, leaving the inter-class gap.

Contour Transformer Network for One-shot Segmentation of Anatomical Structures

rudylyh/CTN_data 2 Dec 2020

In this work, we present Contour Transformer Network (CTN), a one-shot anatomy segmentation method with a naturally built-in human-in-the-loop mechanism.

Progressive One-shot Human Parsing

Charleshhy/One-shot-Human-Parsing 22 Dec 2020

In this paper, we devise a novel Progressive One-shot Parsing network (POPNet) to address two critical challenges , i. e., testing bias and small sizes.

Hypercorrelation Squeeze for Few-Shot Segmentation

juhongm999/hsnet 4 Apr 2021

Few-shot semantic segmentation aims at learning to segment a target object from a query image using only a few annotated support images of the target class.

End-to-end One-shot Human Parsing

Charleshhy/One-shot-Human-Parsing 4 May 2021

Previous human parsing models are limited to parsing humans into pre-defined classes, which is inflexible for applications that need to handle new classes.

One-shot Weakly-Supervised Segmentation in Medical Images

lwhyc/oneshot_weaklyseg 21 Nov 2021

Deep neural networks usually require accurate and a large number of annotations to achieve outstanding performance in medical image segmentation.

Image Segmentation Using Text and Image Prompts

timojl/clipseg 18 Dec 2021

After training on an extended version of the PhraseCut dataset, our system generates a binary segmentation map for an image based on a free-text prompt or on an additional image expressing the query.