SOTAVerified

Referring Expression

Referring expressions places a bounding box around the instance corresponding to the provided description and image.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 364 papers

TitleStatusHype
4th PVUW MeViS 3rd Place Report: Sa2VACode5
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object DetectionCode5
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4VCode4
RemoteSAM: Towards Segment Anything for Earth ObservationCode3
Towards Visual Grounding: A SurveyCode3
EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything ModelCode3
PSALM: Pixelwise SegmentAtion with Large Multi-Modal ModelCode3
Universal Instance Perception as Object Discovery and RetrievalCode3
TextRegion: Text-Aligned Region Tokens from Frozen Image-Text ModelsCode2
GroundingSuite: Measuring Complex Multi-Granular Pixel GroundingCode2
Text4Seg: Reimagining Image Segmentation as Text GenerationCode2
SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression SegmentationCode2
Revisiting Referring Expression Comprehension Evaluation in the Era of Large Multimodal ModelsCode2
F-LMM: Grounding Frozen Large Multimodal ModelsCode2
Decoupling Static and Hierarchical Motion Perception for Referring Video SegmentationCode2
Elysium: Exploring Object-level Perception in Videos via MLLMCode2
Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression SegmentationCode2
NExT-Chat: An LMM for Chat, Detection and SegmentationCode2
GLaMM: Pixel Grounding Large Multimodal ModelCode2
GREC: Generalized Referring Expression ComprehensionCode2
GRES: Generalized Referring Expression SegmentationCode2
MDETR - Modulated Detection for End-to-End Multi-Modal UnderstandingCode2
Exploring Contextual Attribute Density in Referring Expression CountingCode1
IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word EmphasisCode1
New Dataset and Methods for Fine-Grained Compositional Referring Expression Comprehension via Specialist-MLLM CollaborationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RandomAcc@0.5m14.6—Unverified