Papers › GRES: Generalized Referring Expression Segmentation

GRES: Generalized Referring Expression Segmentation

1 Jun 2023CVPR 2023 1arXiv:2306.00968archive 2025-07-28

Chang Liu, Henghui Ding, Xudong Jiang

Referring Expression Segmentation (RES) aims to generate a segmentation mask for the object described by a given language expression. Existing classic RES datasets and methods commonly support single-target expressions only, i.e., one expression refers to one target object. Multi-target and no-target expressions are not considered. This limits the usage of RES in practice. In this paper, we introduce a new benchmark called Generalized Referring Expression Segmentation (GRES), which extends the classic RES to allow expressions to refer to an arbitrary number of target objects. Towards this, we construct the first large-scale GRES dataset called gRefCOCO that contains multi-target, no-target, and single-target expressions. GRES and gRefCOCO are designed to be well-compatible with RES, facilitating extensive experiments to study the performance gap of the existing RES methods on the GRES task. In the experimental study, we find that one of the big challenges of GRES is complex relationship modeling. Based on this, we propose a region-based GRES baseline ReLA that adaptively divides the image into regions with sub-instance clues, and explicitly models the region-region and region-language dependencies. The proposed approach ReLA achieves new state-of-the-art performance on the both newly proposed GRES and classic RES tasks. The proposed gRefCOCO dataset and method are available at https://henghuiding.github.io/GRES.

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window_partition henghuiding/ReLA/gres_model/modeling/backbone/swin.py official repository ran · fixture could not drive it fingerprinted MIT (permissive) · 144d10b49baeb8a6 · report
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computeIoU henghuiding/ReLA/gres_model/evaluation/refer_evaluation.py official repository unverified MIT (permissive) · 745bf09fefeb50c3 · report
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refer_ce_loss henghuiding/ReLA/gres_model/modeling/criterion.py official repository unverified MIT (permissive) · 7a65189d5697386f · report

Tasks

Generalized Referring Expression SegmentationReferring ExpressionReferring Expression SegmentationSegmentation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Generalized Referring Expression Segmentation gRefCOCO ReLA cIoU 62.42 #8 of 13 Archive leaderboard report
Generalized Referring Expression Segmentation gRefCOCO ReLA gIoU 63.60 #8 of 13 Archive leaderboard report
Referring Expression Segmentation RefCOCO+ test B ReLA Overall IoU 57.65 #16 of 30 Archive leaderboard report
Referring Expression Segmentation RefCOCO+ testA ReLA Overall IoU 71.02 #17 of 30 Archive leaderboard report
Referring Expression Segmentation RefCOCO+ val ReLA Overall IoU 66.04 #20 of 33 Archive leaderboard report
Referring Expression Segmentation RefCoCo val ReLA Overall IoU 73.82 #20 of 37 Archive leaderboard report

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