https://github.com/MasterBin-IIAU/UNINEXT
공식 코드Universal Instance Perception as Object Discovery and Retrieval
Papers with Code 아카이브
Generalized Referring Expression Comprehension
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Generalized Referring Expression Comprehension (GREC) allows expressions indicating any number of target objects. GREC takes an image and a referring expression as input, and requires bounding box(es) prediction of the target object(s).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ashkamath/mdetr
공식 코드MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
https://github.com/dmmm1997/simvg
공식 코드SimVG: A Simple Framework for Visual Grounding with Decoupled Multi-modal Fusion
https://github.com/henghuiding/Vision-Language-Transformer
공식 코드Vision-Language Transformer and Query Generation for Referring Segmentation
https://github.com/henghuiding/grefcoco
공식 코드https://github.com/luogen1996/MCN
공식 코드Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
https://github.com/AleDella/mdter_eval
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
https://github.com/b-faye/lightmdetr
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
https://github.com/facebookresearch/multimodal
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
https://github.com/thunlp/pevl
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
https://github.com/xurige1995/3shnet
Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.