Evidence map›Paper›PMID 42536734›Full record

ArticleScience advances2026

Color and orientation feature-attention sensors for efficient recognition.

Hongzhao Wu, Xiangwei Su, Cheng Zhang, Tianjiao Zhang, Yiqi Chen, Zheng Bian, Xinlong Zeng, Chaokai Zhu, Maoxin Tian, Jialei Miao and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Hongzhao WuCollege of Integrated Circuits, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.ORCID 0009-0000-5097-4450
Xiangwei SuCollege of Integrated Circuits, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.
Cheng ZhangCollege of Integrated Circuits, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.
Tianjiao ZhangCollege of Integrated Circuits, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.
Yiqi ChenCollege of Integrated Circuits, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.
Zheng BianCollege of Integrated Circuits, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.
Xinlong ZengCollege of Integrated Circuits, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.
Chaokai ZhuCollege of Integrated Circuits, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.
Maoxin TianCollege of Integrated Circuits, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.ORCID 0009-0006-5935-1798
Jialei MiaoCollege of Integrated Circuits, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.
Caijing LiangSchool of Physical Science and Technology, Yangzhou University, Yangzhou 225002, China.
Yang XuCollege of Integrated Circuits, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0003-3148-7678
Bin YuCollege of Integrated Circuits, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0003-0237-6311
Yang ChaiDepartment of Applied Physics, The Hong Kong Polytechnic University, Hong Kong 999077, China.ORCID 0000-0002-8943-0861
Yuda ZhaoCollege of Integrated Circuits, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0003-2748-0537

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A key challenge in visual search is that target objects defined by specific features are often mixed with distractors. This demands intelligent vision systems capable of performing selective feature acquisition instead of randomly or exhaustively scanning the environment. Here, we report a feature-attention vision sensor that integrates a semantic and geometric "dual-attention" mechanism directly at the hardware level. The sensor features reconfigurable spectral responsivity from the visible to near-infrared range, enabling tunable color attention with a spectral rejection ratio of up to 2 × 10

Identifiers

PMID42536734
PMCPMC13426429

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.