Papers with Code 아카이브

Generalized Referring Expression Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 1
보존된 평가 기록: 13

Generalized Referring Expression Segmentation (GRES), introduced by Liu et al in CVPR 2023, allows expressions indicating any number of target objects. GRES takes an image and a referring expression as input, and requires mask prediction of the target object(s).

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/DerrickWang005/CRIS.pytorch

공식 코드

CRIS: CLIP-Driven Referring Image Segmentation

https://github.com/Dmmm1997/DeRIS

공식 코드

DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback Synergy

https://github.com/RobertLuo1/HDC

공식 코드

CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentation

https://github.com/buptlwz/mabp

공식 코드

Bring Adaptive Binding Prototypes to Generalized Referring Expression Segmentation

https://github.com/henghuiding/ReLA

공식 코드

GRES: Generalized Referring Expression Segmentation

https://github.com/henghuiding/Vision-Language-Transformer

공식 코드

Vision-Language Transformer and Query Generation for Referring Segmentation

https://github.com/leaplabthu/gsva

공식 코드

GSVA: Generalized Segmentation via Multimodal Large Language Models

https://github.com/lichengunc/MAttNet

공식 코드

MAttNet: Modular Attention Network for Referring Expression Comprehension

https://github.com/robertluo1/cohd

공식 코드

CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentation

https://github.com/yz93/lavt-ris

공식 코드

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

https://github.com/zamling/psalm

공식 코드

PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model

https://github.com/henghuiding/grefcoco

GRES: Generalized Referring Expression Segmentation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.