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Referring Expression Segmentation datasets

archive 2025-07-28

11 datasets carry the task tag "Referring Expression Segmentation" (the task itself: Referring Expression Segmentation), ordered by the archive's paper count. Page 1 of 1: 11 shown of 11. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

All 12,172 Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Referring Expression Segmentation 11

Referring Expression Segmentation datasets 1–11 of 11

RefCOCO
The RefCOCO dataset is a referring expression generation (REG) dataset used for tasks related to understanding natural language expressions that refer to specific objects in images.
ImagesTextsSemantic SegmentationReferring Expression SegmentationVisual ReasoningReferring Expression ComprehensionVisual GroundingZero-Shot Region Description+1 tasks
439 papers · 11 benchmarks
DAVIS 2017
DAVIS17 is a dataset for video object segmentation.
ImagesVideosSemantic SegmentationVideo Object SegmentationVideo PredictionReferring Expression SegmentationSemi-Supervised Video Object SegmentationUnsupervised Video Object Segmentation+1 tasks
308 papers · 12 benchmarks
JHMDB (Joint-annotated Human Motion Data Base)
JHMDB is an action recognition dataset that consists of 960 video sequences belonging to 21 actions.
VideosPose EstimationAction Detection2D Human Pose EstimationSkeleton Based Action RecognitionReferring Expression SegmentationOpen Vocabulary Action Detection
249 papers · 9 benchmarks
Referring Expressions for DAVIS 2016 & 2017
Our task is to localize and provide a pixel-level mask of an object on all video frames given a language referring expression obtained either by looking at the first frame only or the full video.
TextsVideo Object SegmentationReferring Expression SegmentationSemi-Supervised Video Object SegmentationUnsupervised Video Object Segmentation
82 papers · 1 benchmark
Refer-YouTube-VOS
There exist previous works [6, 10] that constructed referring segmentation datasets for videos.
VideosTextsReferring Expression SegmentationReferring Video Object Segmentation
52 papers · 3 benchmarks
Google Refexp
A new large-scale dataset for referring expressions, based on MS-COCO.
Image CaptioningReferring Expression SegmentationReferring Expression ComprehensionZero-Shot Region DescriptionNatural Language Visual GroundingDeep Attention
46 papers · 2 benchmarks
A2D Sentences (Sentences for the Actor-Action Dataset (A2D))
The Actor-Action Dataset (A2D) by Xu et al.
TextsReferring Expression Segmentation
31 papers · 1 benchmark
PhraseCut
PhraseCut is a dataset consisting of 77,262 images and 345,486 phrase-region pairs.
ImagesTextsSemantic SegmentationReferring Expression Segmentation
31 papers · 1 benchmark
CLEVR-Ref+
CLEVR-Ref+ is a synthetic diagnostic dataset for referring expression comprehension.
ImagesTextsQuestion AnsweringVisual Question Answering (VQA)Referring Expression SegmentationVisual ReasoningReferring Expression Comprehension
17 papers · 1 benchmark
A2Dre (Subset of A2D Sentences which are not trivial)
We obtain A2Dre by selecting only instances that were labeled as non-trivial, which are 433 REs from 190 videos.
TextsReferring Expression Segmentation
1 paper · 1 benchmark
A2Dre+ (Extension of A2D sentences where trivial cases where filtered)
A2Dre is a subset from the A2D test set including $433$~\textit{non-trivial} REs.
TextsReferring Expression Segmentation
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.