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Referring Expression

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Referring expressions places a bounding box around the instance corresponding to the provided description and image.

코드

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

https://github.com/sosppxo/rg-san

공식 코드

RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation

https://github.com/sunzc-sunny/refdrone

공식 코드

RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes

https://github.com/superhero-7/ireg

공식 코드

Whether you can locate or not? Interactive Referring Expression Generation

https://github.com/sy-xuan/pink

공식 코드

Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs

https://github.com/thunlp/pevl

공식 코드

PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models

https://github.com/timojl/clipseg

공식 코드

Image Segmentation Using Text and Image Prompts

https://github.com/tsinghua-msiip/uni-med

공식 코드

Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE

https://github.com/tzhhhh123/HC-STVG

공식 코드

Human-centric Spatio-Temporal Video Grounding With Visual Transformers

https://github.com/ubc-vision/RefTR

공식 코드

Referring Transformer: A One-step Approach to Multi-task Visual Grounding

https://github.com/uvavision/amc-grounding

공식 코드

Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations

https://github.com/valeoai/LLM_wrapper

공식 코드

LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension

https://github.com/varun-nagaraja/referring-expressions

공식 코드

Modeling Context Between Objects for Referring Expression Understanding

https://github.com/volkancirik/groundnet

공식 코드

Using Syntax to Ground Referring Expressions in Natural Images

https://github.com/volkancirik/neural-sieves-refexp

공식 코드

Visual Referring Expression Recognition: What Do Systems Actually Learn?

https://github.com/wenz116/RefContrast

공식 코드

Understanding Synonymous Referring Expressions via Contrastive Features

https://github.com/wenz116/lang2seg

공식 코드

Referring Expression Object Segmentation with Caption-Aware Consistency

https://github.com/willemsenbram/a-game-of-sorts

공식 코드

Collecting Visually-Grounded Dialogue with A Game Of Sorts

https://github.com/willemsenbram/mention-detection-vgd

공식 코드

Detecting Referring Expressions in Visually Grounded Dialogue with Autoregressive Language Models

https://github.com/willemsenbram/reg-with-guiding

공식 코드

Referring Expression Generation in Visually Grounded Dialogue with Discourse-aware Comprehension Guiding

https://github.com/wusize/f-lmm

공식 코드

F-LMM: Grounding Frozen Large Multimodal Models

https://github.com/xiaoyuan1996/semanticlocalizationmetrics

공식 코드

Learning to Evaluate Performance of Multi-modal Semantic Localization

https://github.com/xu3xiwang/cad-gd

공식 코드

Exploring Contextual Attribute Density in Referring Expression Counting

https://github.com/yanyuanqiao/mic

공식 코드

March in Chat: Interactive Prompting for Remote Embodied Referring Expression

https://github.com/yixuan730/DetToolChain

공식 코드

DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM

https://github.com/yuleiniu/vc

공식 코드

Grounding Referring Expressions in Images by Variational Context

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

공식 코드

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

https://github.com/zackschen/DMM

공식 코드

Continual Referring Expression Comprehension via Dual Modular Memorization

https://github.com/zamling/psalm

공식 코드

PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model

https://github.com/zehao-wang/lad

공식 코드

Layout-aware Dreamer for Embodied Referring Expression Grounding

https://github.com/zhegan27/LXMERT-AdvTrain

공식 코드

Large-Scale Adversarial Training for Vision-and-Language Representation Learning

https://github.com/zhegan27/VILLA

공식 코드

Large-Scale Adversarial Training for Vision-and-Language Representation Learning

https://github.com/zinengtang/MulAgentRef

공식 코드

Grounding Language in Multi-Perspective Referential Communication

https://github.com/zyang-ur/onestage_grounding

공식 코드

A Fast and Accurate One-Stage Approach to Visual Grounding

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