SOTAVerified

Referring Expression Segmentation

The task aims at labeling the pixels of an image or video that represent an object instance referred by a linguistic expression. In particular, the referring expression (RE) must allow the identification of an individual object in a discourse or scene (the referent). REs unambiguously identify the target instance.

Papers

Showing 51100 of 145 papers

TitleStatusHype
UniRef++: Segment Every Reference Object in Spatial and Temporal SpacesCode2
Mask Grounding for Referring Image SegmentationCode1
GSVA: Generalized Segmentation via Multimodal Large Language ModelsCode1
General Object Foundation Model for Images and Videos at ScaleCode3
EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text AlignmentCode1
Unveiling Parts Beyond Objects:Towards Finer-Granularity Referring Expression SegmentationCode1
Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects0
Universal Segmentation at Arbitrary Granularity with Language InstructionCode2
InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence GenerationCode0
NExT-Chat: An LMM for Chat, Detection and SegmentationCode2
GLaMM: Pixel Grounding Large Multimodal ModelCode2
Towards Omni-supervised Referring Expression SegmentationCode0
CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation0
Tracking Anything with Decoupled Video SegmentationCode3
3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression SegmentationCode1
Referring Image Segmentation Using Text SupervisionCode1
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondCode5
EAVL: Explicitly Align Vision and Language for Referring Image Segmentation0
Expression Prompt Collaboration Transformer for Universal Referring Video Object SegmentationCode0
Spectrum-guided Multi-granularity Referring Video Object SegmentationCode1
Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image SegmentationCode1
OnlineRefer: A Simple Online Baseline for Referring Video Object SegmentationCode1
Hierarchical Open-vocabulary Universal Image SegmentationCode2
Shikra: Unleashing Multimodal LLM's Referential Dialogue MagicCode2
WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation0
Extending CLIP's Image-Text Alignment to Referring Image Segmentation0
LoSh: Long-Short Text Joint Prediction Network for Referring Video Object SegmentationCode1
GRES: Generalized Referring Expression SegmentationCode2
SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationCode1
Referred by Multi-Modality: A Unified Temporal Transformer for Video Object SegmentationCode1
Advancing Referring Expression Segmentation Beyond Single ImageCode1
Meta Compositional Referring Expression Segmentation0
Zero-shot Referring Image Segmentation with Global-Local Context FeaturesCode1
Universal Instance Perception as Object Discovery and RetrievalCode3
Unleashing Text-to-Image Diffusion Models for Visual PerceptionCode2
PolyFormer: Referring Image Segmentation as Sequential Polygon GenerationCode1
Segment Every Reference Object in Spatial and Temporal Spaces0
Learning To Segment Every Referring Object Point by PointCode0
Generalized Decoding for Pixel, Image, and LanguageCode3
Fully and Weakly Supervised Referring Expression Segmentation with End-to-End Learning0
A Unified Mutual Supervision Framework for Referring Expression Segmentation and Generation0
VLT: Vision-Language Transformer and Query Generation for Referring SegmentationCode2
Exploring Modulated Detection Transformer as a Tool for Action Recognition in VideosCode0
Multi-Attention Network for Compressed Video Referring Object SegmentationCode1
Towards Robust Referring Video Object Segmentation with Cyclic Relational ConsensusCode1
GLIPv2: Unifying Localization and Vision-Language UnderstandingCode4
Weakly-supervised segmentation of referring expressions0
Modeling Motion with Multi-Modal Features for Text-Based Video SegmentationCode1
ReSTR: Convolution-free Referring Image Segmentation Using Transformers0
SeqTR: A Simple yet Universal Network for Visual GroundingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeRIS-LOverall IoU85.41Unverified
2HyperSegOverall IoU84.8Unverified
3PSALMOverall IoU83.6Unverified
4MLCD-Seg-7BOverall IoU83.6Unverified
5HIPIEOverall IoU82.8Unverified
6EVF-SAMOverall IoU82.4Unverified
7UNINEXT-HOverall IoU82.19Unverified
8UniLSeg-100Overall IoU81.74Unverified
9DETRISOverall IoU81Unverified
10C3VGOverall IoU80.89Unverified
#ModelMetricClaimedVerifiedStatus
1DeRIS-LOverall IoU86.49Unverified
2HyperSegOverall IoU85.7Unverified
3MLCD-Seg-7BOverall IoU85.3Unverified
4EVF-SAMOverall IoU84.2Unverified
5HyperSegOverall IoU83.5Unverified
6C3VGOverall IoU83.18Unverified
7MLCD-Seg-7BOverall IoU82.9Unverified
8DeRIS-LOverall IoU82.34Unverified
9DETRISOverall IoU81.9Unverified
10MaskRIS (Swin-B, combined DB)Overall IoU80.64Unverified
#ModelMetricClaimedVerifiedStatus
1MPG-SAM 2J&F73.9Unverified
2VRS-HQ (Chat-UniVi-13B)J&F71Unverified
3GLEE-ProJ&F70.6Unverified
4UNINEXT-HJ&F70.1Unverified
5ReferDINO (Swin-B)J&F69.3Unverified
6MUTRJ&F68.4Unverified
7VLP (VLMo-L)J&F67.6Unverified
8UniRef-L (Swin-L)J&F67.4Unverified
9HTR (Pre-training)J&F67.1Unverified
10DsHmp (Video-Swin-Base)J&F67.1Unverified
#ModelMetricClaimedVerifiedStatus
1DeRIS-LMean IoU78.59Unverified
2MLCD-Seg-7BOverall IoU75.6Unverified
3HyperSegOverall IoU75.2Unverified
4EVF-SAMOverall IoU71.9Unverified
5DETRISOverall IoU70.2Unverified
6C3VGOverall IoU68.95Unverified
7UniLSeg-100Overall IoU68.15Unverified
8UniLSeg-20Overall IoU66.99Unverified
9UNINEXT-HOverall IoU66.22Unverified
10GROUNDHOGOverall IoU64.9Unverified
#ModelMetricClaimedVerifiedStatus
1HINetIoU overall0.68Unverified
2RefVOSIoU overall0.67Unverified
3ClawCraneNetIoU overall0.64Unverified
4CMSA+CFSAIoU overall0.62Unverified
5RefVOSIoU overall0.6Unverified
6SgMg (Video-Swin-B)AP0.59Unverified
7SOC (Video-Swin-B)AP0.57Unverified
8ReferFormer (Video-Swin-B)AP0.55Unverified
9SOC (Video-Swin-T)AP0.5Unverified
10MANETAP0.47Unverified