Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection | Paper Citation Record

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This paper cites Recognition in terra incognita.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Recognition in terra incognita

Reference 1

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Observation 6c768ce0-edc4-4dc4-b285-0fbc33c6ecd9 · outbound

This paper cites Efficient Pipeline for Camera Trap Image Review.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Efficient Pipeline for Camera Trap Image Review

Reference 2

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Observation 7d37a352-8e99-4a5d-810d-c525e4bda37a · outbound

This paper cites Gorochowski, Toke T.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Gorochowski, Toke T

Reference 3

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This paper cites David Blount, Mark W.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection David Blount, Mark W

Reference 4

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This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 5

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Observation 55a01c6e-89bc-437f-b36b-03250a339c78 · outbound

This paper cites Cole Burton, Eric Neilson, Dario Moreira, Andrew Ladle, Robin Steenweg, Jason T.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Cole Burton, Eric Neilson, Dario Moreira, Andrew Ladle, Robin Steenweg, Jason T

Reference 6

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Observation d5088402-c1ec-4feb-8a5d-ebecc0f33df8 · outbound

This paper cites Banks, A Cole Burton, Caroline M.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Banks, A Cole Burton, Caroline M

Reference 7

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Observation 5a0fd331-6b51-4442-b715-be9c07ad5cf8 · outbound

This paper cites Automated detection of european wild mammal species in camera trap images with an existing and pre-trained computer vision model.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Automated detection of european wild mammal species in camera trap images with an existing and pre-trained computer vision model

Reference 8

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Observation c51571f1-369d-4c5e-bad7-0c9014786c60 · outbound

This paper cites A first step towards automated species recognition from camera trap images of mammals using ai in a european temperate forest.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection A first step towards automated species recognition from camera trap images of mammals using ai in a european temperate forest

Reference 9

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Observation 01063c49-a95b-47aa-b783-4fdfd69e433e · outbound

This paper cites Cole Burton.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Cole Burton

Reference 10

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Observation 07531013-b35a-46f6-b2df-b44d8f412e89 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection YOLOX: Exceeding YOLO Series in 2021

Reference 11

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This paper cites Fast r-cnn.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Fast r-cnn

Reference 12

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Observation b7ad2dff-def1-4910-89c4-f93b6fd09a4c · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 13

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Observation d82e263b-ece4-4dce-935d-3ee8cd587686 · outbound

This paper cites Optimising camera traps for monitoring small mammals.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Optimising camera traps for monitoring small mammals

Reference 14

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Observation f333aa29-803b-4d39-ab1a-4a42f128a087 · outbound

This paper cites Towards automatic wild animal monitoring: Identification of animal species in camera-trap images using very deep convolutional neural networks.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Towards automatic wild animal monitoring: Identification of animal species in camera-trap images using very deep convolutional neural networks

Reference 15

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This paper cites Improving the detection and positioning of camouflaged objects in yolov8.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Improving the detection and positioning of camouflaged objects in yolov8

Reference 16

Resolution: verified exact; doi, observed 2026-08-11T13:11:26.042343Z

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Observation 92bd7444-f737-4ed8-8567-942866ada95b · outbound

This paper cites Long-tailed metrics and object detection in camera trap datasets.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Long-tailed metrics and object detection in camera trap datasets

Reference 17

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Observation ddcea5fe-50a0-4ce3-95ae-2c8728925c49 · outbound

This paper cites Huang, L.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Huang, L

Reference 18

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Observation e4637621-9af4-41d3-8e36-5b1c019ba21e · outbound

This paper cites BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection

Reference 19

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Observation 5138e89c-14d4-48b2-b7e5-ce4970a4db5c · outbound

This paper cites Camera traps as sensor networks for monitoring animal communities.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Camera traps as sensor networks for monitoring animal communities

Reference 20

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Observation 0e342a9c-c587-41af-99e6-ff28038b7779 · outbound

This paper cites Object-Aware Domain Generalization for Object Detection.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Object-Aware Domain Generalization for Object Detection

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-11T13:11:26.724062Z

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This paper cites Human vs.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Human vs

Reference 23

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This paper cites YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 24

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Observation a3bedcc1-9def-4ca6-a2d5-ac284e1d3125 · outbound

This paper cites A modified yolov8 detection network for uav aerial image recognition.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection A modified yolov8 detection network for uav aerial image recognition

Reference 25

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Observation 501daa7f-2972-4ed3-9907-c039bb2906d9 · outbound

This paper cites Microsoft coco: Common objects in context.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Microsoft coco: Common objects in context

Reference 26

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This paper cites Focal loss for dense object detection.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Focal loss for dense object detection

Reference 27

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Observation d4172772-a58d-4b4d-a034-ea8b5dc19225 · outbound

This paper cites Precise detection for dense pcb components based on modified yolov8.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Precise detection for dense pcb components based on modified yolov8

Reference 28

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Observation d8004b73-ffd4-413d-803c-a89d2056a617 · outbound

This paper cites Dsw-yolov8n: A new underwater target detection algorithm based on improved yolov8n.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Dsw-yolov8n: A new underwater target detection algorithm based on improved yolov8n

Reference 29

Resolution: verified exact; doi, observed 2026-08-11T13:11:25.975936Z

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Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Unresolved cited work

Reference 30

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This paper cites Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions

Reference 31

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This paper cites Towards automatic detection of animals in camera-trap images.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Towards automatic detection of animals in camera-trap images

Reference 32

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Observation 1fa6721c-fcb9-46a0-b531-367f75e9b56a · outbound

This paper cites an unresolved cited work.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Unresolved cited work

Reference 33

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Observation 1c4eb36e-6969-455c-a436-688ac2d94aed · outbound

This paper cites Improved YOLOv8 Detection Algorithm in Security Inspection Image.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Improved YOLOv8 Detection Algorithm in Security Inspection Image

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-11T13:11:26.429474Z

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Observation 1c7a9a6e-ea9c-49b0-8962-30f139e43694 · outbound

This paper cites Sp-yolov8s: An improved yolov8s model for remote sensing image tiny object detection.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Sp-yolov8s: An improved yolov8s model for remote sensing image tiny object detection

Reference 35

Resolution: verified exact; doi, observed 2026-08-11T13:11:25.948874Z

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Observation 0c864b35-88b9-44d5-8f63-aa4d09629aa3 · outbound

This paper cites Time to automate identification.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Time to automate identification

Reference 36

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Observation d2cc1ee0-7e9b-4269-85f6-80e26280b27d · outbound

This paper cites Limitations of recreational camera traps for wildlife management and conservation research: A practitioner’s perspective.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Limitations of recreational camera traps for wildlife management and conservation research: A practitioner’s perspective

Reference 37

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Observation 55c12a9e-2f3b-4122-855d-9ebede865c79 · outbound

This paper cites Camera traps in animal ecology and conservation: What’s next? Camera traps in animal ecology: methods and analyses, pages 253–263, 2011.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Camera traps in animal ecology and conservation: What’s next? Camera traps in animal ecology: methods and analyses, pages 253–263, 2011

Reference 38

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This paper cites Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

Reference 39

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Observation e3080f0e-a83c-4cd7-ad9f-edac8bcbee93 · outbound

This paper cites A deep active learning system for species identification and counting in camera trap images.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection A deep active learning system for species identification and counting in camera trap images

Reference 40

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This paper cites Yolo9000: better, faster, stronger.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Yolo9000: better, faster, stronger

Reference 41

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Observation a1c63482-1c2d-42ac-80d1-6e23e92e66f7 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection YOLOv3: An Incremental Improvement

Reference 42

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Observation 1d6468ac-fc0e-48cc-b1e6-438f956d2111 · outbound

This paper cites You only look once: Unified, real-time object detection.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection You only look once: Unified, real-time object detection

Reference 43

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Observation e5c17f5e-219e-4fe1-be60-6276fa3406d7 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.Advances in neural information processing systems, 28, 2015.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks.Advances in neural information processing systems, 28, 2015

Reference 44

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Observation a3aca6ad-bfd6-421e-abef-a3361687ec2c · outbound

This paper cites Generalized intersection over union: A metric and a loss for bounding box regression.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Generalized intersection over union: A metric and a loss for bounding box regression

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:25.591509Z

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Observation bedc914a-cbd5-4676-87c4-90ab973ee74e · outbound

This paper cites Marcus Rowcliffe, Juliet Field, Samuel T.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Marcus Rowcliffe, Juliet Field, Samuel T

Reference 47

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Observation d1893acf-d9d6-4af9-bf10-45f14696c82a · outbound

This paper cites Taylor, and Stefan C.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Taylor, and Stefan C

Reference 48

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Observation 8d6e0949-7c4e-4604-8f2c-78998764368f · outbound

This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:25.614361Z

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Observation e9e4e0dd-b4b4-4d2c-8a5b-533ebc5c1690 · outbound

This paper cites Swann, Kae Kawanishi, and Jonathan Palmer.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Swann, Kae Kawanishi, and Jonathan Palmer

Reference 50

Resolution: verified exact; doi, observed 2026-08-11T13:11:26.009807Z

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Observation ea73c70e-6112-4427-b696-67ef8789a3d1 · outbound

This paper cites Tabak, Daniel Falbel, Tess Hamzeh, Ryan K.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Tabak, Daniel Falbel, Tess Hamzeh, Ryan K

Reference 51

Resolution: verified exact; doi, observed 2026-08-11T13:11:25.839678Z

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Observation 68aac2a1-d9bd-4a79-9eb5-792a234f6f9a · outbound

This paper cites Camera trap placement for evaluating species richness, abundance, and activity.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Camera trap placement for evaluating species richness, abundance, and activity

Reference 52

Resolution: verified exact; doi, observed 2026-08-11T13:11:25.822163Z

Source-reported events for the cited work

correction dated 2022-01-13. Source: crossref record 10.1038/s41598-022-05223-w->10.1038/s41598-021-02459-w:correction, observed 2026-07-11T03:01:42.305049+00:00. This notice travels one citation hop only.

Observation 38d15b12-8370-4211-a40a-7dcfa17c3a37 · outbound

This paper cites torch.nn.Linear.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection torch.nn.Linear

Reference 53

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Observation 449d6511-2b29-4719-a455-2150b22e990c · outbound

This paper cites A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:27.310884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5af74bf1-ece9-4894-877d-9972b535f57c · outbound

This paper cites an unresolved cited work.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Unresolved cited work

Reference 55

Resolution: verified exact; raw_fallback, observed 2026-08-11T13:11:26.385437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 282e5674-7480-4eac-a1bb-e770c7521ac5 · outbound

This paper cites Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:25.654334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0be49fc-18e9-44eb-9803-a2e12958e7e3 · outbound

This paper cites Sande, T.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Sande, T

Reference 57

Resolution: verified exact; doi, observed 2026-08-11T13:11:25.793250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7fce83e2-393c-4550-9c09-b2e055b0e26d · outbound

This paper cites YOLOv5: You Only Look Once for Object Detection.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection YOLOv5: You Only Look Once for Object Detection

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:27.293538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f6d449d5-87db-4ffb-858f-f34aab6ad1a8 · outbound

This paper cites YOLOv8: You Only Look Once for Object Detection.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection YOLOv8: You Only Look Once for Object Detection

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:27.275664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3ac38def-ef7d-44ef-a2b0-d50cb3533531 · outbound

This paper cites Cspnet: A new backbone that can enhance learning capability of cnn.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Cspnet: A new backbone that can enhance learning capability of cnn

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:25.672982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef267390-df5b-40cc-bcff-8d931ccb04cb · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:27.247608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 30e94dc9-aba1-4f53-9d4f-30f9ae39bc60 · outbound

This paper cites Uav-yolov8: A small-object-detection model based on improved yolov8 for uav aerial photography scenarios.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Uav-yolov8: A small-object-detection model based on improved yolov8 for uav aerial photography scenarios

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:25.681799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fa799b4-1e34-4a38-8ce5-83ddccbe42d4 · outbound

This paper cites Bl-yolov8: An improved road defect detection model based on yolov8.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Bl-yolov8: An improved road defect detection model based on yolov8

Reference 63

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T13:11:27.230399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 15a32645-4383-4ffa-8132-47dcd2ac85d3 · outbound

This paper cites an unresolved cited work.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Unresolved cited work

Reference 64

Resolution: verified exact; doi, observed 2026-08-11T13:11:25.761704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f0bc63c5-5773-4864-875a-262627189507 · outbound

This paper cites A lightweight yolov8 tomato detection algorithm combining feature enhancement and attention.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection A lightweight yolov8 tomato detection algorithm combining feature enhancement and attention

Reference 65

Resolution: verified exact; doi, observed 2026-08-11T13:11:25.744812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation faa3efa5-f6f2-4c45-82b7-c07638cf8808 · outbound

This paper cites Towards Domain Generalization in Object Detection.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Towards Domain Generalization in Object Detection

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:25.699870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f19d138-2db9-4687-8f4e-990c0ef35a5a · outbound

This paper cites Focal and efficient iou loss for accurate bounding box regression.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Focal and efficient iou loss for accurate bounding box regression

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:27.214237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 855fd25e-545a-40c7-ac3f-efef0508fbff · outbound

This paper cites Distance-iou loss: Faster and better learning for bounding box regression.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Distance-iou loss: Faster and better learning for bounding box regression

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:27.198114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 50ed5751-7594-4232-8322-3c893cee51aa · outbound

This paper cites URL https://onlinelibrary.wiley.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection URL https://onlinelibrary.wiley

Reference 2022

Resolution: verified exact; doi, observed 2026-08-11T13:11:26.108359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 21b81362-f8a9-4f6f-9213-0d32b3bd07ab · outbound

This paper cites doi: 10.3390/make5040083.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection doi: 10.3390/make5040083

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:25.644449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50cbe56a-ba1f-4f3a-9ba4-42800e034777 · outbound

This paper cites an unresolved cited work.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection Unresolved cited work

Reference 6147

Resolution: verified exact; doi, observed 2026-08-11T13:11:25.869407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers