Pith. sign in

Paper Citation Record · LEDGER

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection

As of 6 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2508.16397.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.16397 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:23:08.910198Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy58
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bb0e80fe-26ac-44da-924a-dede9f80ea08 · outbound

This paper cites write newline.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T17:23:06.910297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:23:06.910297Z digest=sha256:919fa88bcd7bf6c8fbeaf453fdb41f0c42ad2e07ccefc24767413419b7360c44

Observation ff45c2d8-b831-47d8-bfcf-f816de1281a8 · outbound

This paper cites MINet : Multiscale interactive network for real-time salient object detection of strip steel surface defects.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection MINet : Multiscale interactive network for real-time salient object detection of strip steel surface defects

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.390062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:06.973477Z digest=sha256:b4f1d94fff61d04586eaa8f0028d1d204d738030b6781aa0a7206cd80fbdcc5e

Observation 27368a4e-02ca-4494-a3e3-954e608821bd · outbound

This paper cites EDRNet : Encoder--decoder residual network for salient object detection of strip steel surface defects.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection EDRNet : Encoder--decoder residual network for salient object detection of strip steel surface defects

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.382023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:07.009777Z digest=sha256:7865869e049431977891f04bb8f0067cffdcb56a3318d9df70a849c5b3da8c9e

Observation a544b6ac-6bfe-4e0e-baa1-42dd8df9387c · outbound

This paper cites Saliency optimization from robust background detection.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Saliency optimization from robust background detection

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.374222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:07.067315Z digest=sha256:78231c52c9805993168f81866c3fe25fa3e9facb8600dafef55341773379a245

Observation f5e43daf-2de7-49fd-b85b-d44f98c0da98 · outbound

This paper cites A cluster-based wavelet feature extraction method and its application.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection A cluster-based wavelet feature extraction method and its application

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.366336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:07.129642Z digest=sha256:52111e21fb4ae1dcfae9d11a56160496f94f0e00b748105c54d1c43790ca79bd

Observation aa1c514d-89fb-424f-9c20-9f67802bddb9 · outbound

This paper cites A lightweight and robust detection network for diverse glass surface defects via scale-and shape-aware feature extraction.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection A lightweight and robust detection network for diverse glass surface defects via scale-and shape-aware feature extraction

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.357874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:07.148466Z digest=sha256:d9a3eb0c1cfef3fa141d90cba44dfd3a8b3c3fbd3af53414e997f000ab5ebe6d

Observation 27444c8d-0793-4e7b-a17b-b5e4fdff0f37 · outbound

This paper cites A systematic review of deep learning approaches for surface defect detection in industrial applications.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection A systematic review of deep learning approaches for surface defect detection in industrial applications

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.349785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:07.211253Z digest=sha256:458e29176bbaa57ced4456fd4e32c6467477e66d235601e8eed4b8a2cd15078d

Observation 9226c1b4-a1fe-447a-8ca5-2a5d3a0f2871 · outbound

This paper cites A review on modern defect detection models using dcnns--deep convolutional neural networks.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection A review on modern defect detection models using dcnns--deep convolutional neural networks

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.341934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:07.257906Z digest=sha256:b93af5221c26ba984cc1ee759c0b0f2c537034f564e5ec2713bcdd3a9dd98d48

Observation 69b43346-f966-4529-921f-1ee52e3ea03e · outbound

This paper cites Review of surface defect detection of steel products based on machine vision.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Review of surface defect detection of steel products based on machine vision

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.334325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:07.336953Z digest=sha256:862dd8569c0bc1db1b7eca8ad45dad9c632f06d1e01ccf6d28e258c1765b4b5e

Observation da71629b-5cd4-49b7-9876-35bb16f7d6a3 · outbound

This paper cites Dense attention-guided cascaded network for salient object detection of strip steel surface defects.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Dense attention-guided cascaded network for salient object detection of strip steel surface defects

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.326563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:07.440824Z digest=sha256:26388e8ded11140fce0043871f71a81d9bfb91c4621b152f37a04e537eeedfb5

Observation 27564444-2ad0-4d51-8718-dcd1b8051e9a · outbound

This paper cites Edge-aware multi-level interactive network for salient object detection of strip steel surface defects.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Edge-aware multi-level interactive network for salient object detection of strip steel surface defects

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.318319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:07.549658Z digest=sha256:0b6ec9c9d8c500c99c4b6c5387a2822ca6d59a8ae02fe993a8c7e007e2057ab1

Observation 19c948ce-c57c-42a2-b754-724be5ddfc4b · outbound

This paper cites Very deep convolutional networks for large-scale image recognition.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Very deep convolutional networks for large-scale image recognition

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.310800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:07.648256Z digest=sha256:ad6b1b6c5e0707fe1d1decfe9d2ccc085349988e734608e9c5eab7da7b9c89f9

Observation f0110585-26de-452b-97a7-6979347f0578 · outbound

This paper cites Deep residual learning for image recognition.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Deep residual learning for image recognition

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.303334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:07.758179Z digest=sha256:38c0679b2e69488d3598b923ca4de6ea916f4a15c701e48db96c063a6f8d5a6e

Observation c2798361-5fc4-4ce4-b032-b8e8560d8e7c · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Swin transformer: Hierarchical vision transformer using shifted windows

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.295666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:07.818438Z digest=sha256:082a4a1d559470a1170312445b054c5719983b8fbcd46c8b3bd996e3ea58c57a

Observation 30c0bcd2-ff3e-452c-af3d-ef7e7e7ef750 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T17:23:07.880915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:23:07.880915Z digest=sha256:a1304bd134d4c078d70514380feb37f8e7d8c07052183cb0e9ce7cb708b3345e

Observation 9422a625-80aa-4e24-b18f-b7d17701e2ac · outbound

This paper cites Shufflenet v2: Practical guidelines for efficient cnn architecture design.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Shufflenet v2: Practical guidelines for efficient cnn architecture design

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.288200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:07.927841Z digest=sha256:7bf1aa0b9d3631459713a241cc6e6a95af8983428d899d688c6cd087a0501d4f

Observation 65c8a1f2-0f96-4d91-8fa6-1b353e0d699f · outbound

This paper cites Ghostnet: More features from cheap operations.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Ghostnet: More features from cheap operations

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.280752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.036755Z digest=sha256:3d0a0c7cbe78fc92820a239a175ff4cc884821eef8a60523a5c4928413bb3e66

Observation b9dc9f24-3792-41e0-b798-b596b1d840aa · outbound

This paper cites SAMNet : Stereoscopically attentive multi-scale network for lightweight salient object detection.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection SAMNet : Stereoscopically attentive multi-scale network for lightweight salient object detection

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.273506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.146094Z digest=sha256:e0e488edb07f764231fe1ea27747facf1f984747c586787c5c93b217e592a333

Observation 5411a9aa-27e8-4ba8-a53d-ada5de39f7b9 · outbound

This paper cites An improved you only look once model for the multi-scale steel surface defect detection with multi-level alignment and cross-layer redistribution features.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection An improved you only look once model for the multi-scale steel surface defect detection with multi-level alignment and cross-layer redistribution features

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.266194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.226720Z digest=sha256:d63d10b51a95294ee1286eb54002b9cc4e510e57db37fd4996a7bb2ec8c017e9

Observation fa7e02cc-ce36-463a-a709-198d067268e0 · outbound

This paper cites SRPCNet : Self-reinforcing perception coordination network for seamless steel pipes internal surface defect detection.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection SRPCNet : Self-reinforcing perception coordination network for seamless steel pipes internal surface defect detection

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.258445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.300395Z digest=sha256:0238146cbbeb8d33ca41df5573e6347a190ad195c8a42851e5dadf7b94a5a452

Observation f94229aa-7d6d-49a1-aa0b-34f2bd4d1156 · outbound

This paper cites CACS-YOLO : A lightweight model for insulator defect detection based on improved yolov8m.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection CACS-YOLO : A lightweight model for insulator defect detection based on improved yolov8m

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.250857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.433518Z digest=sha256:0606701102a1a2673d9be12d2237f84e9c4de4a7401d89fb290d8c46db8bb0a7

Observation 96082bf6-2ba5-4bff-bd84-cff65884c022 · outbound

This paper cites SIA-net : Structural information awareness network based on normal samples for surface defect detection.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection SIA-net : Structural information awareness network based on normal samples for surface defect detection

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.243203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.526890Z digest=sha256:b2e06908aed594fc1a92b9216073029278cc79548dbca0205acedc283b887a7e

Observation 2961e127-d004-4d4b-8a64-973fd5f0faf7 · outbound

This paper cites A real-time lightweight object detection algorithm based on improved you only look once version 8 for unmanned surface vehicle.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection A real-time lightweight object detection algorithm based on improved you only look once version 8 for unmanned surface vehicle

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.235230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.656443Z digest=sha256:7d2c522640d84abe8d1705a4a77e819736f127d51b53d69bc87fb7a55603a6ce

Observation 2374a630-d56f-4ad2-8ac4-70acfbc53ad0 · outbound

This paper cites CGNet : A light-weight context guided network for semantic segmentation.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection CGNet : A light-weight context guided network for semantic segmentation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.227759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.749818Z digest=sha256:45cf9a549138deba029e590ad6bbd4768a272b7125b25cd77f86ead2843bcd5d

Observation 5f547319-d682-4bb8-9995-47e619f2c82a · outbound

This paper cites Highly efficient salient object detection with 100k parameters.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Highly efficient salient object detection with 100k parameters

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.220145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.817341Z digest=sha256:f9533b5083eb39cd7559908e8f72cb428797c8e2e734cf5079017fae3f29d3dd

Observation 6a1df265-0d6b-407b-88b2-a24af8b96c4b · outbound

This paper cites A lightweight and high-accuracy framework for printed circuit board defect detection.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection A lightweight and high-accuracy framework for printed circuit board defect detection

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.212775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.826442Z digest=sha256:afc9322ca9a491414ec76763d061a7716e6cc5fadcad27ef2d0398a7059a6d19

Observation 9956cce4-7e4b-4d3e-a7ef-833320f1fda1 · outbound

This paper cites Bisenet v2: Bilateral network with guided aggregation for real-time semantic segmentation.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Bisenet v2: Bilateral network with guided aggregation for real-time semantic segmentation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.205248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.828899Z digest=sha256:9bb658bcd9e9a9ad50c85ffd6ee5728b695b6452bc3e04283380c71827667390

Observation 40e18ebf-bd29-4a09-8dcb-10b070237475 · outbound

This paper cites TSD-DETR : A lightweight real-time detection transformer of traffic sign detection for long-range perception of autonomous driving.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection TSD-DETR : A lightweight real-time detection transformer of traffic sign detection for long-range perception of autonomous driving

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.197430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.831383Z digest=sha256:d11108c4fe7e38add72acd9a465fbcc4e1d6cc6d79c5100d367503809bc13a3d

Observation 7791fade-5249-46a2-b090-77c6e4c42b8d · outbound

This paper cites Real-time object detection network in uav-vision based on cnn and transformer.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Real-time object detection network in uav-vision based on cnn and transformer

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.189642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.834048Z digest=sha256:545297b34a538016aeb7adb89afd7f63b1898333da1ed0a0d96d6f8190f0c52e

Observation 1e41fdbe-3b35-4de2-825f-f51289f5d4ec · outbound

This paper cites SegFormer : Simple and efficient design for semantic segmentation with transformers.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection SegFormer : Simple and efficient design for semantic segmentation with transformers

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.181865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.836382Z digest=sha256:a9d8b32491af208ac34ff65a10c91a91959587fe92e2de07154f0a2fb724a699

Observation 7ac037be-ba7b-4aac-8fb3-b56a055b1a51 · outbound

This paper cites Mobilevit: Light-weight, general-purpose, and mobile-friendly vision transformer.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Mobilevit: Light-weight, general-purpose, and mobile-friendly vision transformer

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.174203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.838921Z digest=sha256:f83d0a245d370b893b83510a324b5a57e3af4903599c9621d0e685cbd52c1280

Observation 065fde44-b95e-4967-88cd-1669ca4fdc33 · outbound

This paper cites Efficientformer: Vision transformers at mobilenet speed.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Efficientformer: Vision transformers at mobilenet speed

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.166498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.841389Z digest=sha256:18958a25bbea0cee431a71c59aefce6c279cb53afe16c67e92341d6ea7747c39

Observation 1c7e3220-3faa-4521-b549-62f4506c79e6 · outbound

This paper cites Fastvit: A fast hybrid vision transformer using structural reparameterization.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Fastvit: A fast hybrid vision transformer using structural reparameterization

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.159068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.843742Z digest=sha256:93e47f02b60557e48a60a37d192d864f416b9cea9ac010f2388b531d972d89d0

Observation 1579df1a-c8da-44c9-b399-17634f101552 · outbound

This paper cites Seaformer: Squeeze-enhanced axial transformer for mobile semantic segmentation.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Seaformer: Squeeze-enhanced axial transformer for mobile semantic segmentation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.151661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.846216Z digest=sha256:2a053abd656731b474c2c74aee8c0ca50090453966201a382885539b93038123

Observation 4cb6af6b-3d18-4931-b598-d52d5d120f41 · outbound

This paper cites A survey on vision transformer.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection A survey on vision transformer

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.144176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.848484Z digest=sha256:18b378cebd7876bdfdf87e205d735116456b0ba5a0883ea4cf9f9fb067289e75

Observation 3960a9b1-08d4-4985-bfb8-b6f40c3c923d · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.136695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.850996Z digest=sha256:b5ab96a66877b1daf6e86d4fe5255e75e96b87cf64b6a0cb8b63a4201f0ba725

Observation 72d5f70c-a964-4b30-9f34-e0b80fcac911 · outbound

This paper cites Scale-aware trident networks for object detection.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Scale-aware trident networks for object detection

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.128586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.853326Z digest=sha256:7b504b61059a827aa8caf0f5e3efc54f20c883f5dcd511bd0fc7f191919da559

Observation 0d8378db-ff18-4c10-acb7-f6bce31652a8 · outbound

This paper cites Deep dual-resolution networks for real-time and accurate semantic segmentation of traffic scenes.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Deep dual-resolution networks for real-time and accurate semantic segmentation of traffic scenes

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.121061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.855784Z digest=sha256:859818ed1d682e95f6ba0100927a8bd44485988e246db1f69bd546e0ba0e6c4a

Observation 87485f3f-39f8-4e26-ad7d-8e156fa389fa · outbound

This paper cites Poolnet+: Exploring the potential of pooling for salient object detection.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Poolnet+: Exploring the potential of pooling for salient object detection

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.113354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.858198Z digest=sha256:97a5d1d6aaf01b2ed3723f7665f152064c9e93906f9dbf2d77d1a5a877528ee9

Observation ad974bcc-7919-478a-9ee0-dab594bdddac · outbound

This paper cites P2t: Pyramid pooling transformer for scene understanding.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection P2t: Pyramid pooling transformer for scene understanding

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.105830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.861040Z digest=sha256:5d15b1a1cf9408b4fa40b91c9da2d03ad579ef0c690274084e00bc50dc7a3ff1

Observation c43001b3-a40f-4546-b4de-b8da1ce3f69b · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Pyramid vision transformer: A versatile backbone for dense prediction without convolutions

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.098017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.863379Z digest=sha256:4d2f68f2c1363ec59f4ad7918df3509b90e41237aec6b5eae6888c1195da3754

Observation bc42fafa-ed20-42fb-8e85-7e727017edf0 · outbound

This paper cites Hivit: Hierarchical attention-based transformer for multi-scale whole slide histopathological image classification.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Hivit: Hierarchical attention-based transformer for multi-scale whole slide histopathological image classification

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.090582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.865739Z digest=sha256:db2be9f23d21028b8f33686908dd716e4caac14a0d4338fe328be5f6b3228342

Observation 0550b50b-f26a-4c1c-9897-e06967b3c328 · outbound

This paper cites Multiscale global context network for semantic segmentation of high-resolution remote sensing images.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Multiscale global context network for semantic segmentation of high-resolution remote sensing images

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.083228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.868130Z digest=sha256:5a5e36ec5e5d426d91327037bf88fe84f5f97e589d33ae5e25a9c673aefb5cad

Observation 90b153a0-6278-405b-912d-1a7a37bb71a2 · outbound

This paper cites DUSA-UNet : Dual sparse attentive u-net for multiscale road network extraction.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection DUSA-UNet : Dual sparse attentive u-net for multiscale road network extraction

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.075740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.871340Z digest=sha256:30385893015bd9c734a6ad36a67cb8a88fa28c7eac4f16a17d6c2e86885dc602

Observation cd3ec588-bb35-4cf9-90a0-581fd2fcd627 · outbound

This paper cites View from the top: Hierarchies and reverse hierarchies in the visual system.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection View from the top: Hierarchies and reverse hierarchies in the visual system

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.068111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.873814Z digest=sha256:3251c8ebaddaaee73fdb9182a016465fb286c6ec4a17082e62b9632a907239d5

Observation 561533b2-f000-415e-add7-6ff161567fcd · outbound

This paper cites The free-energy principle: a unified brain theory? Nat.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection The free-energy principle: a unified brain theory? Nat

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.060197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.876154Z digest=sha256:9a64662f2bcc31018e5ce1b451fec1467d0d1fe4b3e8f1c7b8beae7a09c2860d

Observation 20adcb77-ea71-4136-9f5b-05cf086fcb3e · outbound

This paper cites Object perception as bayesian inference.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Object perception as bayesian inference

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.052571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.878871Z digest=sha256:37732513c6c2711285767b01ed3fd447a1387e344ac7fc713a60e10478c74dc1

Observation 14018214-a378-479c-807d-d7a9d1a26911 · outbound

This paper cites Res2Net : A new multi-scale backbone architecture.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Res2Net : A new multi-scale backbone architecture

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.044952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.881558Z digest=sha256:c7b9c450cad9b2e781a1d1ec49e2f5911c3959f0267474374ea133a79871879b

Observation ea42fab0-8391-49a4-b110-a724250df818 · outbound

This paper cites Deep high-resolution representation learning for visual recognition.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Deep high-resolution representation learning for visual recognition

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.037539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.883999Z digest=sha256:a003496439d92c7058f0c469282f5a9ff77e5d1e37770504f7eff3f37540a641

Observation 95d04636-431d-401e-8adc-c611559c44f9 · outbound

This paper cites Cross-stage feature fusion and efficient self-attention for salient object detection.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Cross-stage feature fusion and efficient self-attention for salient object detection

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.030376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.886367Z digest=sha256:d4b45cb1d87c10453847e54f3475735d35f8220deb1addb35c24b92375913c04

Observation 17675679-58cc-43dc-9bb1-f23dbd5c07b2 · outbound

This paper cites Rewrite the stars.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Rewrite the stars

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.022516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.888721Z digest=sha256:964aa1f9a5ad56271c0959ddf6a74ad3fd345173606abb5e5879cf65bcf388b4

Observation abcb464a-1cd4-4c09-a395-77907432a53b · outbound

This paper cites MCnet : Multiple context information segmentation network of no-service rail surface defects.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection MCnet : Multiple context information segmentation network of no-service rail surface defects

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.014949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.891399Z digest=sha256:0e5782861fdd2ba972d54e34077145edbedbce8a7e885bb1f8259a3a7bb40a8b

Observation 3e6fe0d0-0ee3-4710-a436-91a17365ef4a · outbound

This paper cites A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:09.006725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.893886Z digest=sha256:b3a1644d6c6ad4233a734917d58d370ea3475dba02a796723a698214fe1d5452

Observation 78c7039a-d1f6-442b-9806-20a45f4a952a · outbound

This paper cites A simple pooling-based design for real-time salient object detection.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection A simple pooling-based design for real-time salient object detection

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:08.998729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.896191Z digest=sha256:8c0dc3066a14ae965699fca7a1a4b5eb01ecb9bcd975b9be611bb011a4c31f0e

Observation c453e502-1f09-4f70-8d74-5aba515302e4 · outbound

This paper cites U ^ 2 -Net : Going deeper with nested u-structure for salient object detection.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection U ^ 2 -Net : Going deeper with nested u-structure for salient object detection

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:08.990129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.898543Z digest=sha256:bf24fcda8295f9584dc2e3ab7b8ba8fb99d3b248b40b4dd7d7afff5705829351

Observation 6faf266f-d29a-44ac-904f-761ecf71ce54 · outbound

This paper cites EDN : Salient object detection via extremely-downsampled network.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection EDN : Salient object detection via extremely-downsampled network

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:08.981209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.900854Z digest=sha256:081b9f82cc37425623854949a3b4ed0a17307cd3aeba1c8e42c0da6d146c41f4

Observation 5fbbe81d-2465-4b31-91f4-72061513c23f · outbound

This paper cites Bisenet: Bilateral segmentation network for real-time semantic segmentation.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Bisenet: Bilateral segmentation network for real-time semantic segmentation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:08.972606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.903215Z digest=sha256:7dd80c8bb8103b23ea5c6af53d7fb5acda7c26ac8030590f4a705e754ca17d2d

Observation 66df22a2-3b89-41fb-8b70-5b22bc7d478a · outbound

This paper cites Lednet: A lightweight encoder-decoder network for real-time semantic segmentation.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Lednet: A lightweight encoder-decoder network for real-time semantic segmentation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:08.964431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.905548Z digest=sha256:718e2d2726d58aa3a6aa8181399cb320d2ef36c04fc43e155a0eb9775abee4ff

Observation 8c708463-a01b-4db9-96c2-b1b96cf1f8e5 · outbound

This paper cites Lightweight salient object detection via hierarchical visual perception learning.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection Lightweight salient object detection via hierarchical visual perception learning

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:08.956113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.907798Z digest=sha256:7939cca825fd8286ee8651dd64756f6e9d41063b3b124c7baf054e3a772f127e

Observation a37f06ea-6963-421a-81da-def542ecddbd · outbound

This paper cites A convnet for the 2020s.

A Lightweight Group Multiscale Bidirectional Interactive Network for Real-Time Steel Surface Defect Detection A convnet for the 2020s

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:23:08.945921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:23:08.910198Z digest=sha256:5e9015c7b5f2f7c85481330d714ea0a7463a28f89ffe5a297964cefcac5595ba

Pith citing papers

No inbound Pith citation observations are available.