Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:22:39.850143Z
Paper Citation Record · LEDGER
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis
As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.14854.
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 2026-08-16T06:30:59.297886+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
35 of 35 outbound references displayed
- verified exact0
- verified fuzzy24
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 836db931-2b8b-4565-8370-36fae460b572 · outbound
This paper cites Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252, 2015.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252, 2015
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:22:36.010253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 903722e0-2275-44af-a8a1-0f1be04b646f · outbound
This paper cites Microsoft coco: Common objects in context.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Microsoft coco: Common objects in context
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:22:36.124771Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a516e52-766b-4cc1-b89a-4ae720da22ef · outbound
This paper cites Simple online and realtime tracking with a deep association metric.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Simple online and realtime tracking with a deep association metric
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:22:36.236708Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e427573b-f2a0-47a5-9f8e-2e13200f935c · outbound
This paper cites The pascal visual object classes challenge: A retrospective.International journal of computer vision, 111:98–136, 2015.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis The pascal visual object classes challenge: A retrospective.International journal of computer vision, 111:98–136, 2015
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:44.960757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b2ef9a58-58a7-4ba1-bfe9-5b4a2b85e974 · outbound
This paper cites Video summarization using deep semantic features.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Video summarization using deep semantic features
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:44.755621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d0c18b62-b4b1-4bfc-8c05-2be1406d963f · outbound
This paper cites Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:22:36.583867Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c305242a-6acf-409b-b62f-e9dd0fa67c36 · outbound
This paper cites Vivit: A video vision transformer.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Vivit: A video vision transformer
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:22:36.671910Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccfbd01a-5d34-40b2-ade3-ef161af669b1 · outbound
This paper cites Time-contrastive networks: Self-supervised learning from video.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Time-contrastive networks: Self-supervised learning from video
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:44.578603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3b6eb999-464e-4fb4-8637-346e8959733c · outbound
This paper cites Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:44.383983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 653b60d2-ecd6-4291-9801-5c7bfbe335af · outbound
This paper cites Training data-efficient image transformers & distillation through attention.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Training data-efficient image transformers & distillation through attention
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:22:37.077493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2044a422-e783-4e09-855d-4cb1e930532d · outbound
This paper cites Large scale fine-grained categorization and domain-specific transfer learning.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Large scale fine-grained categorization and domain-specific transfer learning
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:44.200017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 586d881e-f31c-4e64-bfb9-a1518630b32e · outbound
This paper cites Rethinking the Hyperparameters for Fine-tuning.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Rethinking the Hyperparameters for Fine-tuning
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:22:37.321692Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1645d80-45d8-43e5-a94c-e6ba282d9e33 · outbound
This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Model-agnostic meta-learning for fast adaptation of deep networks
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:22:37.494010Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa78ccc0-9573-4885-9f58-33ac3e39977f · outbound
This paper cites Generalizing from a few examples: A survey on few-shot learning.ACM computing surveys (csur), 53(3):1–34, 2020.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Generalizing from a few examples: A survey on few-shot learning.ACM computing surveys (csur), 53(3):1–34, 2020
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:22:37.562564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 020335ae-84c4-4795-a30c-0a44fd9727ca · outbound
This paper cites Trackingnet: A large-scale dataset and benchmark for object tracking in the wild.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Trackingnet: A large-scale dataset and benchmark for object tracking in the wild
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:44.023481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 036cd0f8-ab67-4f5f-9f94-a53e4c389dac · outbound
This paper cites Video annotation and tracking with active learning.Advances in Neural Information Processing Systems, 24, 2011.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Video annotation and tracking with active learning.Advances in Neural Information Processing Systems, 24, 2011
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:43.839180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a30db224-f3b4-45e3-93fe-55218efb74d8 · outbound
This paper cites Pathtrack: Fast trajectory annotation with path supervision.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Pathtrack: Fast trajectory annotation with path supervision
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:43.685285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8025805a-6d87-4fdd-8be1-5d6492d6824e · outbound
This paper cites A novel key-frames selection framework for comprehensive video summariza- tion.IEEE Transactions on Circuits and Systems for Video Technology, 30(2):577–589, 2019.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis A novel key-frames selection framework for comprehensive video summariza- tion.IEEE Transactions on Circuits and Systems for Video Technology, 30(2):577–589, 2019
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:43.506255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9aa9d3a7-0af7-4a2c-a4a2-76c83906c01d · outbound
This paper cites A user attention model for video summarization.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis A user attention model for video summarization
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:43.291324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation be4ddf3c-f10e-4787-a4ae-4b3dc205108a · outbound
This paper cites Deep learning approach to key frame detection in human action videos.Recent Trends in Computational Intelligence, 1:1–17, 2020.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Deep learning approach to key frame detection in human action videos.Recent Trends in Computational Intelligence, 1:1–17, 2020
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:43.035579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 57b3b318-9973-4813-9d8f-b86b095f89f9 · outbound
This paper cites Real-time keyframe extraction towards video content identifica- tion.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Real-time keyframe extraction towards video content identifica- tion
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:42.759059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 44d074e5-e2ae-44a2-aab1-2ceb543a1dd5 · outbound
This paper cites Cnn based key frame extraction for face in video recognition.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Cnn based key frame extraction for face in video recognition
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:42.490002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 23622718-68e8-4e63-ad35-656b003dbc69 · outbound
This paper cites Keyframe-based video summarization with human in the loop.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Keyframe-based video summarization with human in the loop
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:42.142855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 51397c66-f3ef-49fc-aa8c-366cbaa5289c · outbound
This paper cites An efficient keyframes selection based framework for video captioning.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis An efficient keyframes selection based framework for video captioning
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:41.928828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d0eb5444-7eab-4832-8cc4-03dc3510c405 · outbound
This paper cites Self-supervised learning to detect key frames in videos.Sensors, 20(23):6941, 2020.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Self-supervised learning to detect key frames in videos.Sensors, 20(23):6941, 2020
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:41.700338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4b1bd19b-9195-4420-9f70-b00c7fe31d2d · outbound
This paper cites Deep unsupervised key frame extraction for efficient video classification.ACM Transactions on Multimedia Computing, Communications and Applications, 19(3):1–17, 2023.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Deep unsupervised key frame extraction for efficient video classification.ACM Transactions on Multimedia Computing, Communications and Applications, 19(3):1–17, 2023
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:41.526049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 54effa41-4b34-4a79-a60c-701188e788c8 · outbound
This paper cites Unsupervised video summarization framework using keyframe extraction and video skimming.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Unsupervised video summarization framework using keyframe extraction and video skimming
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:41.308901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d9557519-40ff-488a-b7d6-390f94fdddd1 · outbound
This paper cites Interested keyframe extraction of commodity video based on adaptive clustering annotation.Applied Sciences, 12(3):1502, 2022.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Interested keyframe extraction of commodity video based on adaptive clustering annotation.Applied Sciences, 12(3):1502, 2022
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:41.169962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3c5b6aa5-f8b6-4838-b802-b62c3707acd1 · outbound
This paper cites Summarizing videos with attention.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Summarizing videos with attention
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:40.943623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 39b5c83a-b722-4514-a31f-dca7e37c677d · outbound
This paper cites Online learnable keyframe extraction in videos and its application with semantic word vector in action recognition.Pattern Recognition, 122:108273, 2022.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Online learnable keyframe extraction in videos and its application with semantic word vector in action recognition.Pattern Recognition, 122:108273, 2022
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:40.714007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 787ef37b-99b3-4b4e-a553-cd4bf3344f25 · outbound
This paper cites A review of research on object detection based on deep learning.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis A review of research on object detection based on deep learning
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:40.510953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ce0e9beb-34ce-4a7f-a1ba-2bd45a8aaa01 · outbound
This paper cites Rethinking the inception architecture for computer vision.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Rethinking the inception architecture for computer vision
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:22:39.547227Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f3ba1e8-4136-4a2c-8d55-1323eac93797 · outbound
This paper cites Segment Anything.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Segment Anything
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:22:39.693470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f677349-bb31-4790-93a3-56c99f58cde9 · outbound
This paper cites End-to-end object detection with transformers.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis End-to-end object detection with transformers
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:40.356692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 33a079eb-9dad-4d8c-b284-a2b6b0ee2329 · outbound
This paper cites Ultralytics/YOLOv5: v5.0.
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Ultralytics/YOLOv5: v5.0
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:22:40.148496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.