Generalized Referring Expression Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

10 shown of 10 papers with code (15 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentation
  24 May 2024 2 repositories listed
  By decoupling the intricate referring semantics into different granularity with a visual-linguistic hierarchy, and dynamic aggregating it with intra- and inter-selection, CoHD boosts multi-granularity comprehension with…
• GRES: Generalized Referring Expression Segmentation
  1 Jun 2023 2 repositories listed Syntology ran 2 of 5 samples · 3 unverified
  Existing classic RES datasets and methods commonly support single-target expressions only, i.
• DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback Synergy
  2 Jul 2025 1 repository listed
  Referring Image Segmentation (RIS) is a challenging task that aims to segment objects in an image based on natural language expressions.
• Bring Adaptive Binding Prototypes to Generalized Referring Expression Segmentation
  24 May 2024 1 repository listed
  Referring Expression Segmentation (RES) has attracted rising attention, aiming to identify and segment objects based on natural language expressions.
• PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model
  21 Mar 2024 1 repository listed Syntology ran 2 of 7 samples · 5 unverified
  PSALM is a powerful extension of the Large Multi-modal Model (LMM) to address the segmentation task challenges.
• GSVA: Generalized Segmentation via Multimodal Large Language Models
  15 Dec 2023 1 repository listed Syntology ran 2 of 10 samples · 8 unverified
  Generalized Referring Expression Segmentation (GRES) extends the scope of classic RES to refer to multiple objects in one expression or identify the empty targets absent in the image.
• LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
  4 Dec 2021 1 repository listed
  Referring image segmentation is a fundamental vision-language task that aims to segment out an object referred to by a natural language expression from an image.
• CRIS: CLIP-Driven Referring Image Segmentation
  30 Nov 2021 1 repository listed Syntology ran 7 of 12 samples · 5 unverified
  In addition, we present text-to-pixel contrastive learning to explicitly enforce the text feature similar to the related pixel-level features and dissimilar to the irrelevances.
• Vision-Language Transformer and Query Generation for Referring Segmentation
  12 Aug 2021 1 repository listed
  We introduce transformer and multi-head attention to build a network with an encoder-decoder attention mechanism architecture that "queries" the given image with the language expression.
• MAttNet: Modular Attention Network for Referring Expression Comprehension
  24 Jan 2018 1 repository listed
  In this paper, we address referring expression comprehension: localizing an image region described by a natural language expression.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.