Papers › Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image...

Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation

21 Jul 2023ICCV 2023 1arXiv:2307.11545archive 2025-07-28

Zunnan Xu, Zhihong Chen, Yong Zhang, Yibing Song, Xiang Wan, Guanbin Li

Parameter Efficient Tuning (PET) has gained attention for reducing the number of parameters while maintaining performance and providing better hardware resource savings, but few studies investigate dense prediction tasks and interaction between modalities. In this paper, we do an investigation of efficient tuning problems on referring image segmentation. We propose a novel adapter called Bridger to facilitate cross-modal information exchange and inject task-specific information into the pre-trained model. We also design a lightweight decoder for image segmentation. Our approach achieves comparable or superior performance with only 1.61% to 3.38% backbone parameter updates, evaluated on challenging benchmarks. The code is available at \url{https://github.com/kkakkkka/ETRIS}.

PaperPDFConference PDFCodeCode Syntology ran

In Syntology Open this paper in Syntology's Atlas, the map of the papers in Syntology's graph and their citations.

For agents, Syntology's MCP tool lists every function and class Syntology harvested from this paper and whether it ran (how to connect): get_harvested_code_for_paper(arxiv_id="2307.11545")

Code

Syntology Ran 8 of 16 code samples harvested from 1 repository linked to this paper; 8 have no recorded run. Of those that ran: 4 ran · our draft was wrong; 4 ran with no contract checked.

By repository: official repository: 16 samples from 1 repository, 8 ran. The run record, sample by sample. “Ran” means executed on a synthesized input, not that the code is correct or reproduces the paper.

kkakkkka/etris officialmentioned in papermentioned on GitHubpytorchMIT report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

16 samples harvested; 8 ran; 0 honoured the contract we drafted; 8 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.

4ran · our draft was wrong
4ran
8unverified

Licence: 0 of the 16 samples are pointer only, meaning Syntology does not serve that copy's text. This page shows no code text for any sample; each one links to its file in the repository.

Harvested from kkakkkka/ETRIS. “Ran” means the sample executed on a synthesized input. It does not mean the output is correct, and nothing here reproduces the paper's results. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code.

Each sample ends with its code_sha256, Syntology's identity for that exact code. An agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

Repository labels, per sample. official repository: The archive marks this repository official for the paper. named in the paper: The archive records that the paper mentions this repository; it is not marked official. community (archive-listed): In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper. found in paper text by Syntology: Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted. community: Not in the archive's code links for this paper; a community repository Syntology harvested. Samples from a repository marked official are listed first. Licence labels name the repository's licence as recorded at harvest. “Pointer only” means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence label for the reason. File links open the file on GitHub at the default branch, which may have changed since the harvest.

Interactor kkakkkka/ETRIS/model/bridger.py official repository ran · metamorphic tier: invariant MIT (permissive) · dcafe7ec4c3e2899 · report
basic_clean kkakkkka/etris/utils/simple_tokenizer.py official repository ran · our draft was wrong fingerprinted MIT (permissive) · 98f385d847636a3e · report
conv_layer kkakkkka/etris/model/layers.py official repository ran · our draft was wrong MIT (permissive) · dbfe3357dc25ca5f · report
get_pairs kkakkkka/etris/utils/simple_tokenizer.py official repository ran · our draft was wrong MIT (permissive) · d919ae32e5e4e616 · report
init_random_seed kkakkkka/etris/utils/misc.py official repository ran MIT (permissive) · 539cbfa1328eb51b · report
linear_layer kkakkkka/etris/model/layers.py official repository ran MIT (permissive) · 89f9fd49ddec76ba · report
trainMetricGPU kkakkkka/etris/utils/misc.py official repository ran MIT (permissive) · 78241a45492d6667 · report
whitespace_clean kkakkkka/etris/utils/simple_tokenizer.py official repository ran · our draft was wrong fingerprinted MIT (permissive) · 9542161e9640b858 · report
Bridger_RN kkakkkka/ETRIS/model/bridger.py official repository unverified MIT (permissive) · 23af313e4b569833 · report
adapt_position_encoding kkakkkka/etris/model/clip.py official repository unverified MIT (permissive) · 98ab2f374bc768a9 · report
build_model kkakkkka/etris/model/clip.py official repository unverified MIT (permissive) · a77119da98b6e547 · report
concat_all_gather kkakkkka/etris/utils/misc.py official repository unverified MIT (permissive) · 73cecca9f3575f09 · report
deconv_layer kkakkkka/etris/model/layers.py official repository unverified MIT (permissive) · db55fb2ff4ac93bb · report
load_cfg_from_cfg_file kkakkkka/etris/utils/config.py official repository unverified MIT (permissive) · cc23416cff396c39 · report
loads_pyarrow kkakkkka/etris/utils/dataset.py official repository unverified MIT (permissive) · b4c154b6f0568b6b · report
merge_cfg_from_list kkakkkka/etris/utils/config.py official repository unverified MIT (permissive) · 022883c7911679b3 · report

Tasks

DecoderImage SegmentationReferring Expression SegmentationSegmentationSemantic Segmentation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Referring Expression Segmentation RefCOCO ETRIS IoU 71.06 #4 of 4 Archive leaderboard report
Referring Expression Segmentation RefCoCo val ETRIS Overall IoU 71.06 #23 of 37 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

Adapter

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections