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

Showing 2650 of 88 papers

TitleStatusHype
Conditional Image-Text Embedding NetworksCode0
Context-Infused Visual Grounding for ArtCode0
Detector-Free Weakly Supervised Grounding by SeparationCode0
Disambiguating Reference in Visually Grounded Dialogues through Joint Modeling of Textual and Multimodal Semantic StructuresCode0
Empathic Grounding: Explorations using Multimodal Interaction and Large Language Models with Conversational AgentsCode0
Extending Phrase Grounding with Pronouns in Visual DialoguesCode0
Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-ReferringCode0
Grounding of Textual Phrases in Images by ReconstructionCode0
Learning to Exploit Temporal Structure for Biomedical Vision-Language ProcessingCode0
Learning to ground medical text in a 3D human atlasCode0
A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection TrainingCode0
Localizing Active Objects from Egocentric Vision with Symbolic World KnowledgeCode0
Making the Most of Text Semantics to Improve Biomedical Vision--Language ProcessingCode0
Modularized Textual Grounding for Counterfactual ResilienceCode0
Multi-level Multimodal Common Semantic Space for Image-Phrase GroundingCode0
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual GroundingCode0
Natural Language Object RetrievalCode0
Revisiting Image-Language Networks for Open-ended Phrase DetectionCode0
Trade-offs in Fine-tuned Diffusion Models Between Accuracy and InterpretabilityCode0
Phrase Grounding by Soft-Label Chain Conditional Random FieldCode0
Rethinking Diversified and Discriminative Proposal Generation for Visual GroundingCode0
Neural Parameter Allocation SearchCode0
Similarity Maps for Self-Training Weakly-Supervised Phrase GroundingCode0
Transformer with Controlled Attention for Synchronous Motion CaptioningCode0
VICCA: Visual Interpretation and Comprehension of Chest X-ray Anomalies in Generated Report Without Human FeedbackCode0
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Benchmark Results

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