Papers › Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation

Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation

19 Mar 2020CVPR 2020 6arXiv:2003.08813archive 2025-07-28

Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Chenglin Wu, Cheng Deng, Rongrong Ji

Referring expression comprehension (REC) and segmentation (RES) are two highly-related tasks, which both aim at identifying the referent according to a natural language expression. In this paper, we propose a novel Multi-task Collaborative Network (MCN) to achieve a joint learning of REC and RES for the first time. In MCN, RES can help REC to achieve better language-vision alignment, while REC can help RES to better locate the referent. In addition, we address a key challenge in this multi-task setup, i.e., the prediction conflict, with two innovative designs namely, Consistency Energy Maximization (CEM) and Adaptive Soft Non-Located Suppression (ASNLS). Specifically, CEM enables REC and RES to focus on similar visual regions by maximizing the consistency energy between two tasks. ASNLS supresses the response of unrelated regions in RES based on the prediction of REC. To validate our model, we conduct extensive experiments on three benchmark datasets of REC and RES, i.e., RefCOCO, RefCOCO+ and RefCOCOg. The experimental results report the significant performance gains of MCN over all existing methods, i.e., up to +7.13% for REC and +11.50% for RES over SOTA, which well confirm the validity of our model for joint REC and RES learning.

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aspp_decoder luogen1996/MCN/model/mcn_model.py official repository unverified MIT (permissive) · 91dce3275884c301 · report
bert_output_sum luogen1996/MCN/model/bert.py official repository unverified MIT (permissive) · 2c78556cd9635a1d · report
create_from_dict luogen1996/MCN/utils/parse_config.py official repository unverified MIT (permissive) · 136643a1b2ec6aa9 · report
expand_and_tile luogen1996/MCN/model/utils.py official repository unverified MIT (permissive) · 47337bf91f204990 · report
expand_and_tile_1 luogen1996/MCN/model/utils.py official repository unverified MIT (permissive) · a6d7706f7a9a3eca · report
get_checkpoint_paths luogen1996/MCN/model/bert.py official repository unverified MIT (permissive) · 73debbc8d76d4ded · report
global_attention_block luogen1996/MCN/model/garan.py official repository unverified MIT (permissive) · 5d597490de9d1f49 · report
letterbox_image luogen1996/MCN/utils/utils.py official repository unverified MIT (permissive) · fe7e8a0ae28d05e2 · report
normalize_by_dim luogen1996/MCN/model/utils.py official repository unverified MIT (permissive) · 364718e6449b4023 · report
rand luogen1996/MCN/utils/utils.py official repository unverified MIT (permissive) · cdf3547dcf481932 · report
simple_fusion luogen1996/MCN/model/mcn_model.py official repository unverified MIT (permissive) · b0d7842e5e5a7f8d · report
up_proj_cat_proj luogen1996/MCN/model/mcn_model.py official repository unverified MIT (permissive) · daccc76ced7a707b · report
update_from_dict luogen1996/MCN/utils/parse_config.py official repository unverified MIT (permissive) · c7ed0cfdeeed82ac · report

Tasks

Generalized Referring Expression ComprehensionReferring ExpressionReferring Expression ComprehensionReferring Expression Segmentation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Generalized Referring Expression Comprehension gRefCOCO MCN N-acc. 30.6 #5 of 5 Archive leaderboard report
Generalized Referring Expression Comprehension gRefCOCO MCN Precision@(F1=1, IoU≥0.5) 28.0 #5 of 5 Archive leaderboard report

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