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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/80chen86/ipdn
공식 코드IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation
https://github.com/ChenRocks/UNITER
공식 코드https://github.com/ChopinSharp/ref-nms
공식 코드Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding
https://github.com/GingL/ARN
공식 코드Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding
https://github.com/GingL/KPRN
공식 코드https://github.com/JinYuanLi0012/RiVEG
공식 코드LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition
https://github.com/KuofengGao/MLLM-Grounding-Robustness
공식 코드Adversarial Robustness for Visual Grounding of Multimodal Large Language Models
https://github.com/MasterBin-IIAU/UNINEXT
공식 코드Universal Instance Perception as Object Discovery and Retrieval
https://github.com/RobertLuo1/HDC
공식 코드https://github.com/Shaosifan/FIANet
공식 코드Exploring Fine-Grained Image-Text Alignment for Referring Remote Sensing Image Segmentation
https://github.com/ShramanPramanick/VoLTA
공식 코드VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment
https://github.com/SilongYong/SQA3D
공식 코드https://github.com/ThiagoCF05/NeuralREG
공식 코드NeuralREG: An end-to-end approach to referring expression generation
https://github.com/ThierryDeruyttere/Talk2Car-Expr
공식 코드Giving Commands to a Self-Driving Car: How to Deal with Uncertain Situations?
https://github.com/VoyageWang/IteRPrimE
공식 코드https://github.com/YicongHong/Recurrent-VLN-BERT
공식 코드https://github.com/ai-application-and-integration-lab/sam4mllm
공식 코드SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation
https://github.com/air-discover/toist
공식 코드TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation
https://github.com/airbert-vln/airbert
공식 코드Airbert: In-domain Pretraining for Vision-and-Language Navigation
https://github.com/allenai/grit_official
공식 코드https://github.com/allenai/reclip
공식 코드ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension
https://github.com/amazon-research/read-up
공식 코드Learning Better Visual Dialog Agents with Pretrained Visual-Linguistic Representation
https://github.com/amore-upf/masked-coreference
공식 코드https://github.com/ashkamath/mdetr
공식 코드MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
https://github.com/avaxiao/TextRegion
공식 코드TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models
https://github.com/aws/aws-refcocog-adv
공식 코드https://github.com/b-faye/lightmdetr
공식 코드A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection Training
https://github.com/bhi-research/ava_mdetr
공식 코드Exploring Modulated Detection Transformer as a Tool for Action Recognition in Videos
https://github.com/buptlwz/mabp
공식 코드Bring Adaptive Binding Prototypes to Generalized Referring Expression Segmentation
https://github.com/clause-bielefeld/reg-scene-context
공식 코드Resilience through Scene Context in Visual Referring Expression Generation
https://github.com/clp-research/intra-episodic-feedback
공식 코드https://github.com/clp-research/pento-diaref
공식 코드https://github.com/codezakh/SIMLA
공식 코드Single-Stream Multi-Level Alignment for Vision-Language Pretraining
https://github.com/controlnet/naver
공식 코드NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning
https://github.com/cvlab-stonybrook/c-rex
공식 코드Improving Contrastive Learning for Referring Expression Counting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.