SOTAVerified

Phrase Grounding

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–88 of 88 papers

TitleStatusHype
Zero-Shot Grounding of Objects from Natural Language QueriesCode0
Read, look and detect: Bounding box annotation from image-caption pairs—0
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding—0
CXR-Agent: Vision-language models for chest X-ray interpretation with uncertainty aware radiology reporting—0
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment—0
MedRG: Medical Report Grounding with Multi-modal Large Language Model—0
Utilizing Every Image Object for Semi-supervised Phrase Grounding—0
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation—0
A Comparison of Object Detection and Phrase Grounding Models in Chest X-ray Abnormality Localization using Eye-tracking Data—0
Catalog Phrase Grounding (CPG): Grounding of Product Textual Attributes in Product Images for e-commerce Vision-Language Applications—0
Neural Sequential Phrase Grounding (SeqGROUND)—0
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training—0
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment—0
Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling—0
Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding—0
CAVL: Learning Contrastive and Adaptive Representations of Vision and Language—0
Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection—0
Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models—0
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement—0
PIRC Net : Using Proposal Indexing, Relationships and Context for Phrase Grounding—0
Pre-Training Multimodal Hallucination Detectors with Corrupted Grounding Data—0
Grounding Plural Phrases: Countering Evaluation Biases by Individuation—0
Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension—0
How to Understand "Support"? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding—0
Improving Pre-trained Vision-and-Language Embeddings for Phrase Grounding—0
Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection—0
Knowledge Aided Consistency for Weakly Supervised Phrase Grounding—0
ELVIS: Empowering Locality of Vision Language Pre-training with Intra-modal Similarity—0
Language Features Matter: Effective Language Representations for Vision-Language Tasks—0
Dynamic Conditional Networks for Few-Shot Learning—0
Learning Deep Structure-Preserving Image-Text Embeddings—0
Progressive Local Alignment for Medical Multimodal Pre-training—0
Propagating Over Phrase Relations for One-Stage Visual Grounding—0
Q-GroundCAM: Quantifying Grounding in Vision Language Models via GradCAM—0
LIMITR: Leveraging Local Information for Medical Image-Text Representation—0
Lite-MDETR: A Lightweight Multi-Modal Detector—0
Query-guided Regression Network with Context Policy for Phrase Grounding—0
Disentangled Motif-aware Graph Learning for Phrase Grounding—0
Show:102550
← PrevPage 2 of 2Next →
All datasetsFlickr30k Entities TestFlickr30kFlickr30k Entities DevReferItVisual Genome

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GLIPv2R@187.7—Unverified
2FIBER-BR@187.4—Unverified
3GLIPR@187.1—Unverified
4PEVLR@184.4—Unverified
5MDETR-ENB5R@184.3—Unverified
6DIGNR@178.73—Unverified
7LCMCGR@176.74—Unverified
8Soft-Label Chain CRF (SL-CCRF)R@174.69—Unverified
9DDPN (ResNet-101)R@173.3—Unverified
10VisualBERTR@171.33—Unverified
#ModelMetricClaimedVerifiedStatus
1GBS Ensemble + 12-in-1Pointing Game Accuracy85.9—Unverified
2GbS Ensemble MS-COCOPointing Game Accuracy75.6—Unverified
3COCO_ELMo_PNASNetPointing Game Accuracy69.19—Unverified
#ModelMetricClaimedVerifiedStatus
1Fiber-BR@187.1—Unverified
2PEVLR@184.1—Unverified
3VisualBERTR@170.4—Unverified
#ModelMetricClaimedVerifiedStatus
1VG_BiLSTM_VGGPointing Game Accuracy62.76—Unverified
2GbS Ensemble MS-COCOPointing Game Accuracy58.21—Unverified
3MCBAccuracy28.91—Unverified
#ModelMetricClaimedVerifiedStatus
1GbS VGPointing Game Accuracy55.91—Unverified
2VG_ELMo_PNASNetPointing Game Accuracy55.16—Unverified
3GbS Ensemble MS-COCOPointing Game Accuracy54.55—Unverified