Papers with Code 아카이브
Phrase Grounding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 5
- 보존된 평가 기록
- 30
Given an image and a corresponding caption, the Phrase Grounding task aims to ground each entity mentioned by a noun phrase in the caption to a region in the image.
Source: Phrase Grounding by Soft-Label Chain Conditional Random Field
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Disambiguating Reference in Visually Grounded Dialogues through Joint Modeling of Textual and Multimodal Semantic Structures
A Comparison of Object Detection and Phrase Grounding Models in Chest X-ray Abnormality Localization using Eye-tracking Data
Progressive Local Alignment for Medical Multimodal Pre-training
Anatomical grounding pre-training for medical phrase grounding
VICCA: Visual Interpretation and Comprehension of Chest X-ray Anomalies in Generated Report Without Human Feedback
Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding
Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension
Towards Visual Grounding: A Survey
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation
Context-Infused Visual Grounding for Art
Transformer with Controlled Attention for Synchronous Motion Captioning
Pre-Training Multimodal Hallucination Detectors with Corrupted Grounding Data
A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection Training
CXR-Agent: Vision-language models for chest X-ray interpretation with uncertainty aware radiology reporting
Empathic Grounding: Explorations using Multimodal Interaction and Large Language Models with Conversational Agents
Q-GroundCAM: Quantifying Grounding in Vision Language Models via GradCAM
Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models
MedRG: Medical Report Grounding with Multi-modal Large Language Model
Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training
How to Understand "Support"? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding
Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement
An Open and Comprehensive Pipeline for Unified Object Grounding and Detection
PG-Video-LLaVA: Pixel Grounding Large Video-Language Models
Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models
Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning
Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks
A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models
A Survey on Interpretable Cross-modal Reasoning
Catalog Phrase Grounding (CPG): Grounding of Product Textual Attributes in Product Images for e-commerce Vision-Language Applications
Kosmos-2: Grounding Multimodal Large Language Models to the World
World-to-Words: Grounded Open Vocabulary Acquisition through Fast Mapping in Vision-Language Models
Read, look and detect: Bounding box annotation from image-caption pairs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.