https://github.com/lwye/CMSA-Net
Cross-Modal Self-Attention Network for Referring Image Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Referring expressions places a bounding box around the instance corresponding to the provided description and image.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Cross-Modal Self-Attention Network for Referring Image Segmentation
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions
The Project Dialogism Novel Corpus: A Dataset for Quotation Attribution in Literary Texts
Kosmos-2: Grounding Multimodal Large Language Models to the World
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEs
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.