Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:15:18.133222Z
Paper Citation Record · LEDGER
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images
As of 15 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2411.11738.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
53 of 53 outbound references displayed
- verified exact6
- verified fuzzy11
- unresolved36
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1a6fa4f9-6ebc-411b-989b-428773b50802 · outbound
This paper cites an unresolved cited work.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T18:15:20.509757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 62002477-33f1-43f6-8536-672a9d488bd9 · outbound
This paper cites A review of recent application of near infrared spectroscopy to wood science and technology.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images A review of recent application of near infrared spectroscopy to wood science and technology
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:15:20.468829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation caffc8bb-ecd3-48ed-9b7c-7d96e032329a · outbound
This paper cites Overview of current practices in data analysis for wood identification-a guide for the different timber tracking methods, 2020.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Overview of current practices in data analysis for wood identification-a guide for the different timber tracking methods, 2020
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:15:20.437480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ef2a4da1-d8d5-4095-86f0-c35dc67d4d3b · outbound
This paper cites Flaig, Jens Berger, Philip Wenig, Andrea Olbrich, and Bodo Saake.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Flaig, Jens Berger, Philip Wenig, Andrea Olbrich, and Bodo Saake
Reference 4
- Resolution
- verified exact
- doi, observed 2026-08-12T18:15:18.408544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9bf459c0-b749-4a86-a7d1-ac1c6aa6cc0d · outbound
This paper cites Atlas of vessel elements: Identification of asian timbers.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Atlas of vessel elements: Identification of asian timbers
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:15:20.401222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4a683842-9265-4984-9826-f964d1631e97 · outbound
This paper cites Fiber atlas: identification of papermaking fibers.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Fiber atlas: identification of papermaking fibers
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:15:20.367419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 38af6755-2e19-4c8a-a6fb-30abc8243988 · outbound
This paper cites Atlas of macroscopic wood identification: with a special focus on timbers used in Europe and CITES-listed species.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Atlas of macroscopic wood identification: with a special focus on timbers used in Europe and CITES-listed species
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:15:20.339176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9a36afa1-2244-4408-8a7a-f696ab821ff5 · outbound
This paper cites Computer vision-based wood identification: A review.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Computer vision-based wood identification: A review
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:15:20.292821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e26dcee5-addf-45b0-9601-82be5abb3396 · outbound
This paper cites Mywood-premium, 2018.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Mywood-premium, 2018
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:15:20.258136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ca4bb269-3266-4ef4-84c8-2f3def454cfe · outbound
This paper cites The xylotron: flexible, open-source, image-based macroscopic field identification of wood products.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images The xylotron: flexible, open-source, image-based macroscopic field identification of wood products
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:15:20.212731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f3f1a127-263a-4eba-ad52-6ce48896b1db · outbound
This paper cites The xylophone: toward democratizing access to high-quality macroscopic imaging for wood and other substrates.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images The xylophone: toward democratizing access to high-quality macroscopic imaging for wood and other substrates
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:15:20.132056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ad72bf7c-ae14-440e-8251-2d55d2520625 · outbound
This paper cites Automating wood species detection and classification in microscopic images of fibrous materials with deep learning, 2023.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Automating wood species detection and classification in microscopic images of fibrous materials with deep learning, 2023
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:15:20.091233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b8a71f01-29af-4b38-be00-e087d225aa7b · outbound
This paper cites Microsoft COCO: Common Objects in Context.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Microsoft COCO: Common Objects in Context
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.721344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6058e245-dabb-4413-8088-347e51257d65 · outbound
This paper cites YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.731211Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67da1013-de6b-4357-8873-1d1d83d596f8 · outbound
This paper cites End-to-End Object Detection with Transformers.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images End-to-End Object Detection with Transformers
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.738806Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a8f4582-af06-4202-9503-2474c2239511 · outbound
This paper cites DETRs Beat YOLOs on Real-time Object Detection.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images DETRs Beat YOLOs on Real-time Object Detection
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.746045Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52dff048-2522-41cd-85f1-a36f786901a2 · outbound
This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.767121Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e7ed2bb-b394-4604-aebc-a8610319752c · outbound
This paper cites NMS Strikes Back.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images NMS Strikes Back
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.776122Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef3e9f49-264b-4fe4-a70e-b3efb8efcd9a · outbound
This paper cites You Only Look Once: Unified, Real-Time Object Detection.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images You Only Look Once: Unified, Real-Time Object Detection
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.789957Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0dfad357-b2e7-4318-aa23-d930c90bd02f · outbound
This paper cites YOLO9000: Better, Faster, Stronger.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images YOLO9000: Better, Faster, Stronger
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.799470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c666585-705a-42f5-80b1-07eb1c98ed35 · outbound
This paper cites YOLOv3: An Incremental Improvement.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images YOLOv3: An Incremental Improvement
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.815173Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed679d7c-6af1-4b2b-a3b4-72d85f52851a · outbound
This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images YOLOv4: Optimal Speed and Accuracy of Object Detection
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.824075Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a730ec9d-3c79-42df-9895-2efb22a05768 · outbound
This paper cites Scaled-YOLOv4: Scaling Cross Stage Partial Network.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Scaled-YOLOv4: Scaling Cross Stage Partial Network
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.838477Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ceb8d84-8f6f-48ab-954f-72dfa77f6a4c · outbound
This paper cites YOLOX: Exceeding YOLO Series in 2021.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images YOLOX: Exceeding YOLO Series in 2021
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.846988Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19e5ddb9-8bcc-4ffd-94f8-d10a1611add2 · outbound
This paper cites YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.857273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb40b786-e672-473f-8120-e394ab8cdfcb · outbound
This paper cites DAMO-YOLO : A Report on Real-Time Object Detection Design.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images DAMO-YOLO : A Report on Real-Time Object Detection Design
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.869841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce7a56d4-3943-4e9b-88e2-f999651a5348 · outbound
This paper cites YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.884101Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 926bbb1f-25e2-4139-847b-749e58ba48ef · outbound
This paper cites YOLOv10: Real-Time End-to-End Object Detection.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images YOLOv10: Real-Time End-to-End Object Detection
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.892295Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6eb79c91-8598-4467-9f87-502d1ac17402 · outbound
This paper cites PP-YOLO: An Effective and Efficient Implementation of Object Detector.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images PP-YOLO: An Effective and Efficient Implementation of Object Detector
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.905320Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b397c34-ab71-473e-9ec8-27e2de978208 · outbound
This paper cites PP-YOLOv2: A Practical Object Detector.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images PP-YOLOv2: A Practical Object Detector
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.913977Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dac5d703-5894-4986-abcd-f2a0797c572f · outbound
This paper cites PP-YOLOE: An evolved version of YOLO.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images PP-YOLOE: An evolved version of YOLO
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.921931Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb63af48-b87c-4e2e-a541-c68aba22f822 · outbound
This paper cites Segmentation and characterization of macerated fibers and vessels using deep learning.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Segmentation and characterization of macerated fibers and vessels using deep learning
Reference 32
- Resolution
- verified exact
- doi, observed 2026-08-12T18:15:18.365012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e0da290d-3a2d-48d4-9d4d-2a2225a0eea5 · outbound
This paper cites Automatic cell counting with yolov5: A fluorescence microscopy approach.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Automatic cell counting with yolov5: A fluorescence microscopy approach
Reference 33
- Resolution
- verified exact
- doi, observed 2026-08-12T18:15:18.330069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fc9f86bf-8268-44d4-9a64-a1d9ab9552ee · outbound
This paper cites an unresolved cited work.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Unresolved cited work
Reference 34
- Resolution
- verified exact
- doi, observed 2026-08-12T18:15:18.281327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 54381def-99b3-4cd1-8c03-193f1fd0ed3c · outbound
This paper cites Yolov7-ma: Improved yolov7-based wheat head detection and counting.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Yolov7-ma: Improved yolov7-based wheat head detection and counting
Reference 35
- Resolution
- verified exact
- doi, observed 2026-08-12T18:15:18.240304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5decebfd-14df-4dae-b54d-34d0a45a20bd · outbound
This paper cites Semo-yolo: A multiscale object detection network in satellite remote sensing images.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Semo-yolo: A multiscale object detection network in satellite remote sensing images
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.964792Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4eb6cdc0-a7fa-45b9-854b-0c20672fc95f · outbound
This paper cites Preparation of thin sections of synthetic resins and wood-resin composites, and a new macerating method for wood.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Preparation of thin sections of synthetic resins and wood-resin composites, and a new macerating method for wood
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:15:20.054932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e47c7312-aadb-4a08-bf43-08a53ae095b9 · outbound
This paper cites an unresolved cited work.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T18:15:20.023299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 940645bf-1544-4f54-8607-2ea0d3f222a5 · outbound
This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.986932Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a393d440-f6ca-4024-a3da-cc73ec7590a0 · outbound
This paper cites A ConvNet for the 2020s.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images A ConvNet for the 2020s
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:17.997983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 572e99a4-358c-45c6-8b50-6ebc1a5149ad · outbound
This paper cites Deep Residual Learning for Image Recognition.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Deep Residual Learning for Image Recognition
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:18.006013Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17f037b0-343f-46e4-88ed-28707aa4b40d · outbound
This paper cites CSPNet: A New Backbone that can Enhance Learning Capability of CNN.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:18.014679Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ca5539d-7ccf-49a3-814c-55d3041c5bdc · outbound
This paper cites Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:18.036449Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13aa5a5f-4152-4650-869b-730215208355 · outbound
This paper cites Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:18.045115Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fe2a209-6ec6-4cd2-b790-245befade354 · outbound
This paper cites Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:18.057478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c94dcea-0477-4bce-af9e-17ca558f1cdb · outbound
This paper cites Williams, John Winn, and Andrew Zisserman.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Williams, John Winn, and Andrew Zisserman
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:18.064790Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1915f9fe-01f1-40ca-a6c8-77fc86ffbabd · outbound
This paper cites FCOS: Fully Convolutional One-Stage Object Detection.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images FCOS: Fully Convolutional One-Stage Object Detection
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:18.077127Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2bcdb72-069d-4b6b-8ef9-1b63a7178754 · outbound
This paper cites OTA: Optimal Transport Assignment for Object Detection.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images OTA: Optimal Transport Assignment for Object Detection
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T18:15:18.732002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e1fda0bb-20f2-412a-91e1-8488a9d972e6 · outbound
This paper cites TOOD: Task-aligned One-stage Object Detection.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images TOOD: Task-aligned One-stage Object Detection
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:18.092486Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7b99e84-f3be-4a93-bd53-c5198d04a038 · outbound
This paper cites RepVGG: Making VGG-style ConvNets Great Again.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images RepVGG: Making VGG-style ConvNets Great Again
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:18.104135Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20c02315-8081-43c6-b50e-4c4da4396a19 · outbound
This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:18.116589Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 472f2207-1c50-471d-bf34-2fa080d9be0d · outbound
This paper cites Squeeze-and-Excitation Networks.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Squeeze-and-Excitation Networks
Reference 52
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- no resolver link, observed 2026-08-12T18:15:18.126523Z
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Observation c5ff36a2-3f32-4e0d-8dbf-e9e748d39baa · outbound
This paper cites Bag of Tricks for Image Classification with Convolutional Neural Networks.
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images Bag of Tricks for Image Classification with Convolutional Neural Networks
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:18.133222Z
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Pith citing papers
No inbound Pith citation observations are available.