Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:21:44.640182Z
Paper Citation Record · LEDGER
Recognizing Part Attributes with Insufficient Data
As of 16 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:1908.03335.
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
70 of 70 outbound references displayed
- verified exact1
- verified fuzzy58
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d50e314c-7e6c-4d31-a720-97fa313746c2 · outbound
This paper cites How to transfer? zero-shot object recognition via hierarchical transfer of se- mantic attributes.
Recognizing Part Attributes with Insufficient Data How to transfer? zero-shot object recognition via hierarchical transfer of se- mantic attributes
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.792485Z
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 94f2f4b9-38cd-4495-960a-1c878ed780c6 · outbound
This paper cites Neural module networks.
Recognizing Part Attributes with Insufficient Data Neural module networks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.766574Z
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 5caa0b23-59a3-4658-9cfa-427627e59b6a · outbound
This paper cites Vqa: Visual question answering.
Recognizing Part Attributes with Insufficient Data Vqa: Visual question answering
Reference 3
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c7c3e1d-6fbb-4e1c-a0b6-7477c08258b5 · outbound
This paper cites Multiple Object Recognition with Visual Attention.
Recognizing Part Attributes with Insufficient Data Multiple Object Recognition with Visual Attention
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:21:44.129148Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6286bf50-a4fd-4283-9446-d0a60627ac1d · outbound
This paper cites De- scribing people: A poselet-based approach to attribute clas- sification.
Recognizing Part Attributes with Insufficient Data De- scribing people: A poselet-based approach to attribute clas- sification
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.725413Z
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 46f7f7ce-1fb8-495a-96c4-db8f961ffbea · outbound
This paper cites Poselets: Body part detectors trained using 3d human pose annotations.
Recognizing Part Attributes with Insufficient Data Poselets: Body part detectors trained using 3d human pose annotations
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.704463Z
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 096a6510-9e04-4851-9dce-6437c418ddc8 · outbound
This paper cites An empirical study and analysis of generalized zero- shot learning for object recognition in the wild.
Recognizing Part Attributes with Insufficient Data An empirical study and analysis of generalized zero- shot learning for object recognition in the wild
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.671998Z
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 928f32d3-ec8f-4f4a-9365-29f0f6a60e33 · outbound
This paper cites ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering.
Recognizing Part Attributes with Insufficient Data ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:21:44.158540Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff345dcf-f5cd-4f7c-8288-101284c2fa96 · outbound
This paper cites Pedestrian attribute recognition at far distance.
Recognizing Part Attributes with Insufficient Data Pedestrian attribute recognition at far distance
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.647549Z
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 2275ae38-eaaa-48b5-9c2a-53c7227b5a2a · outbound
This paper cites Attribute-centric recognition for cross-category generalization.
Recognizing Part Attributes with Insufficient Data Attribute-centric recognition for cross-category generalization
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.607922Z
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 181ef280-a0ae-4427-b965-55f0f5ca5b2b · outbound
This paper cites Describing objects by their attributes.
Recognizing Part Attributes with Insufficient Data Describing objects by their attributes
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.578412Z
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 1b66a726-4bdc-4ab7-bae3-f36e3f28359b · outbound
This paper cites Learning visual at- tributes.
Recognizing Part Attributes with Insufficient Data Learning visual at- tributes
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.549086Z
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 cb7311d0-2ecc-43bf-97a2-edcb32a8ba22 · outbound
This paper cites Model- agnostic meta-learning for fast adaptation of deep networks.
Recognizing Part Attributes with Insufficient Data Model- agnostic meta-learning for fast adaptation of deep networks
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.515333Z
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 97d27e08-b5f2-4893-b1df-1cb192f189ec · outbound
This paper cites Fine-grained recognition in the wild: A multi-task domain adaptation ap- proach.
Recognizing Part Attributes with Insufficient Data Fine-grained recognition in the wild: A multi-task domain adaptation ap- proach
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.474673Z
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 2f52946f-2d7d-4547-8c86-d6fc07353edb · outbound
This paper cites Fast r-cnn.
Recognizing Part Attributes with Insufficient Data Fast r-cnn
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.443465Z
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 db769639-67a9-40de-b06a-b0fb7da225df · outbound
This paper cites Region-based convolutional networks for accurate object detection and segmentation.
Recognizing Part Attributes with Insufficient Data Region-based convolutional networks for accurate object detection and segmentation
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.413377Z
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 5dc53d10-4183-48ec-aee5-3a7071c1d051 · outbound
This paper cites Evaluating ap- pearance models for recognition, reacquisition, and track- ing.
Recognizing Part Attributes with Insufficient Data Evaluating ap- pearance models for recognition, reacquisition, and track- ing
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.388646Z
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 f1843463-4ee4-4c73-9b12-856e3d6b1b7d · outbound
This paper cites Attributes for improved attributes: A multi-task network utilizing implicit and ex- plicit relationships for facial attribute classification.
Recognizing Part Attributes with Insufficient Data Attributes for improved attributes: A multi-task network utilizing implicit and ex- plicit relationships for facial attribute classification
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.366203Z
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 4ba56db0-2fc6-4e95-802d-1227f4f53f46 · outbound
This paper cites A simple general approach to inference about the tail of a distribution.The annals of statistics, pages 1163– 1174, 1975.
Recognizing Part Attributes with Insufficient Data A simple general approach to inference about the tail of a distribution.The annals of statistics, pages 1163– 1174, 1975
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.333922Z
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 25f9397a-70a3-45ba-9b8a-0283e4be4e4f · outbound
This paper cites Labeled faces in the wild: A database forstudying face recognition in unconstrained environments.
Recognizing Part Attributes with Insufficient Data Labeled faces in the wild: A database forstudying face recognition in unconstrained environments
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.298890Z
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 97ebec24-c7fd-4f9a-9617-154f7dd660eb · outbound
This paper cites Spatial transformer networks.
Recognizing Part Attributes with Insufficient Data Spatial transformer networks
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.261432Z
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 26d3ef0e-b3e7-4b8c-9f24-c05b0cc81c3f · outbound
This paper cites Human attribute recognition by rich appearance dictionary.
Recognizing Part Attributes with Insufficient Data Human attribute recognition by rich appearance dictionary
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.237982Z
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 41f13646-8f1d-4726-86fb-1690fab481c3 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Recognizing Part Attributes with Insufficient Data Adam: A Method for Stochastic Optimization
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:21:44.281659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c8c03bc-d5b8-4b6c-bb04-5261fd259842 · outbound
This paper cites Imagenet classification with deep convolutional neural net- works.
Recognizing Part Attributes with Insufficient Data Imagenet classification with deep convolutional neural net- works
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.215903Z
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 376cadc1-2f1a-46f5-beb5-284097fcda26 · outbound
This paper cites Describable visual attributes for face verifica- tion and image search.
Recognizing Part Attributes with Insufficient Data Describable visual attributes for face verifica- tion and image search
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.183589Z
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 f553f336-8dc6-459b-be7c-8915fb4b0bb2 · outbound
This paper cites Attribute and simile classifiers for face veri- fication.
Recognizing Part Attributes with Insufficient Data Attribute and simile classifiers for face veri- fication
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.151765Z
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 b957c66b-52bd-460f-9d3b-24bd3b85a649 · outbound
This paper cites Learning to detect unseen object classes by between- class attribute transfer.
Recognizing Part Attributes with Insufficient Data Learning to detect unseen object classes by between- class attribute transfer
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.123372Z
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 361311fd-85e3-4fc7-90ed-a843e6bf9389 · outbound
This paper cites Attribute-based classification for zero-shot visual object categorization.
Recognizing Part Attributes with Insufficient Data Attribute-based classification for zero-shot visual object categorization
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.089191Z
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 293a820a-2778-4fde-9baf-2a121a27e269 · outbound
This paper cites A Richly Annotated Dataset for Pedestrian Attribute Recognition.
Recognizing Part Attributes with Insufficient Data A Richly Annotated Dataset for Pedestrian Attribute Recognition
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:21:44.330230Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24180b81-7224-4259-bfe0-3b892103388f · outbound
This paper cites Human attribute recognition by deep hierarchical con- texts.
Recognizing Part Attributes with Insufficient Data Human attribute recognition by deep hierarchical con- texts
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.047380Z
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 4e33333e-3c54-493f-86c3-7bf7d9340022 · outbound
This paper cites Zero-shot recognition using dual visual- semantic mapping paths.
Recognizing Part Attributes with Insufficient Data Zero-shot recognition using dual visual- semantic mapping paths
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:46.017636Z
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 ae37706b-320c-447d-ac35-55b48fbbe21b · outbound
This paper cites Localizing by describing: Attribute-guided attention lo- calization for fine-grained recognition.
Recognizing Part Attributes with Insufficient Data Localizing by describing: Attribute-guided attention lo- calization for fine-grained recognition
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.991843Z
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 4091cc68-8bdb-4623-8d0f-577a4fcc0ad3 · outbound
This paper cites Fully Convolutional Attention Networks for Fine-Grained Recognition.
Recognizing Part Attributes with Insufficient Data Fully Convolutional Attention Networks for Fine-Grained Recognition
Reference 33
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9b6c6ee-95e6-4643-ae23-5e428a615868 · outbound
This paper cites Deepfashion: Powering robust clothes recognition and retrieval with rich annotations.
Recognizing Part Attributes with Insufficient Data Deepfashion: Powering robust clothes recognition and retrieval with rich annotations
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:21:44.365083Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b8a2861-d1cd-4c7d-9612-11cfb92563ad · outbound
This paper cites Deep learning face attributes in the wild.
Recognizing Part Attributes with Insufficient Data Deep learning face attributes in the wild
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.950505Z
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 c4d8ef2a-4ee5-4b32-82fe-015944f532ad · outbound
This paper cites Fully-adaptive feature shar- ing in multi-task networks with applications in person at- tribute classification.
Recognizing Part Attributes with Insufficient Data Fully-adaptive feature shar- ing in multi-task networks with applications in person at- tribute classification
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.904307Z
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 19b42497-8b11-4e11-b8b3-aafa46601787 · outbound
This paper cites Transparency by design: Closing the gap be- tween performance and interpretability in visual reasoning.
Recognizing Part Attributes with Insufficient Data Transparency by design: Closing the gap be- tween performance and interpretability in visual reasoning
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.879371Z
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 6b4ce273-bb76-4861-a4c8-6a90e47ac1df · outbound
This paper cites Re- current models of visual attention.
Recognizing Part Attributes with Insufficient Data Re- current models of visual attention
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.789119Z
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 c1c3e85a-57e8-418c-acbd-30f71b67d293 · outbound
This paper cites Zero-shot learning with semantic output codes.
Recognizing Part Attributes with Insufficient Data Zero-shot learning with semantic output codes
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.764942Z
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 363a1830-e72c-4e17-ac6c-c5ff7512dad7 · outbound
This paper cites Sun attribute database: Discovering, annotating, and recognizing scene attributes.
Recognizing Part Attributes with Insufficient Data Sun attribute database: Discovering, annotating, and recognizing scene attributes
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.724301Z
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 035fcdf9-6d84-4b1c-8c01-6966167bcd7a · outbound
This paper cites Coco attributes: At- tributes for people, animals, and objects.
Recognizing Part Attributes with Insufficient Data Coco attributes: At- tributes for people, animals, and objects
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.682280Z
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 7343ab3f-155f-4079-b94a-bb9deb95671b · outbound
This paper cites Optimization as a model for few-shot learning.
Recognizing Part Attributes with Insufficient Data Optimization as a model for few-shot learning
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.646700Z
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 c94882a6-978d-4b1c-8fe3-972583d8f113 · outbound
This paper cites You only look once: Unified, real-time object de- tection.
Recognizing Part Attributes with Insufficient Data You only look once: Unified, real-time object de- tection
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.613050Z
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 6d9a4739-84e9-40b0-b9ae-f58f744815d8 · outbound
This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.
Recognizing Part Attributes with Insufficient Data Faster r-cnn: Towards real-time object detection with region proposal networks
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.591253Z
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 b66b79d0-982e-40a7-8e45-52e0516ca4f7 · outbound
This paper cites An embarrass- ingly simple approach to zero-shot learning.
Recognizing Part Attributes with Insufficient Data An embarrass- ingly simple approach to zero-shot learning
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.560265Z
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 21fbce01-fc98-4ef2-b133-a91b064a34d0 · outbound
This paper cites Attribute learning in large-scale datasets.
Recognizing Part Attributes with Insufficient Data Attribute learning in large-scale datasets
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.533565Z
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 4474dd6f-bc9f-4f71-ad30-0020dea5277e · outbound
This paper cites Attention for Fine-Grained Categorization.
Recognizing Part Attributes with Insufficient Data Attention for Fine-Grained Categorization
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:21:44.464772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a9c1d3e-6bb9-4b7e-8a06-b5a10ac496e2 · outbound
This paper cites Learning discriminative spatial representation for image classification.
Recognizing Part Attributes with Insufficient Data Learning discriminative spatial representation for image classification
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.506087Z
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 7c44223c-cf65-4dfc-8d25-df1c43fcc9c8 · outbound
This paper cites Per- son attribute recognition with a jointly-trained holistic cnn model.
Recognizing Part Attributes with Insufficient Data Per- son attribute recognition with a jointly-trained holistic cnn model
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.481832Z
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 746d4785-9279-4eb5-aeea-f144301589d8 · outbound
This paper cites Is learning the n-th thing any easier than learning the first? In NIPS, pages 640–646, 1996.
Recognizing Part Attributes with Insufficient Data Is learning the n-th thing any easier than learning the first? In NIPS, pages 640–646, 1996
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.448734Z
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 d13e4f83-b0f2-4bf4-a682-5f7ecffe8606 · outbound
This paper cites The caltech-ucsd birds-200-2011 dataset.
Recognizing Part Attributes with Insufficient Data The caltech-ucsd birds-200-2011 dataset
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.421017Z
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 360de896-b339-4294-a505-17ab37e6cdb4 · outbound
This paper cites Relational knowledge transfer for zero-shot learning.
Recognizing Part Attributes with Insufficient Data Relational knowledge transfer for zero-shot learning
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.392992Z
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 99fe9497-9e60-4a88-b245-9c8b2c3d52b4 · outbound
This paper cites Residual attention network for image classification.
Recognizing Part Attributes with Insufficient Data Residual attention network for image classification
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.362820Z
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 ae4b6960-a60d-4f2d-98cd-ee6f7feab1ec · outbound
This paper cites Learn- ing models for object recognition from natural language de- scriptions.
Recognizing Part Attributes with Insufficient Data Learn- ing models for object recognition from natural language de- scriptions
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.341968Z
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 236d8990-d1f1-4111-9878-2464ddd35ffb · outbound
This paper cites At- tribute recognition by joint recurrent learning of context and correlation.
Recognizing Part Attributes with Insufficient Data At- tribute recognition by joint recurrent learning of context and correlation
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.316482Z
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 e65d7be1-5158-4227-a619-776acc1bdd30 · outbound
This paper cites Non-local neural networks.
Recognizing Part Attributes with Insufficient Data Non-local neural networks
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:21:44.542230Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b334ffe-9c84-499e-b915-7f3fb3d3678f · outbound
This paper cites Cbam: Convolutional block attention module.
Recognizing Part Attributes with Insufficient Data Cbam: Convolutional block attention module
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.277380Z
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 d8a9e18d-f695-4d7e-8699-61d3514f93da · outbound
This paper cites Zero-Shot Learning -- The Good, the Bad and the Ugly.
Recognizing Part Attributes with Insufficient Data Zero-Shot Learning -- The Good, the Bad and the Ugly
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:21:44.556673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27372aed-7028-487c-a923-12622d62c25c · outbound
This paper cites Aggregated residual transformations for deep neural networks.
Recognizing Part Attributes with Insufficient Data Aggregated residual transformations for deep neural networks
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.253527Z
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 fca324f6-34d1-44a7-a650-ebd3e6dd408c · outbound
This paper cites Show, attend and tell: Neural image caption gen- eration with visual attention.
Recognizing Part Attributes with Insufficient Data Show, attend and tell: Neural image caption gen- eration with visual attention
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:21:44.570924Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27ac3dbb-4b7d-4491-bc13-5b81e786b9ab · outbound
This paper cites A large-scale car dataset for fine-grained categorization and verification.
Recognizing Part Attributes with Insufficient Data A large-scale car dataset for fine-grained categorization and verification
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.208255Z
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 4672dfbe-dcee-4af7-ae33-5e40fde77102 · outbound
This paper cites Part-based r-cnns for fine-grained category detection.
Recognizing Part Attributes with Insufficient Data Part-based r-cnns for fine-grained category detection
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.177960Z
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 80568aa9-0a99-4b1d-91b1-179ed7ebd8ed · outbound
This paper cites Deformable part descriptors for fine-grained recognition and attribute prediction.
Recognizing Part Attributes with Insufficient Data Deformable part descriptors for fine-grained recognition and attribute prediction
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.148933Z
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 37641f2b-a6f4-478d-9fbe-5c903b41f789 · outbound
This paper cites Panda: Pose aligned net- works for deep attribute modeling.
Recognizing Part Attributes with Insufficient Data Panda: Pose aligned net- works for deep attribute modeling
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.111848Z
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 bce582ef-670c-4e04-91de-32f799c9acd2 · outbound
This paper cites Zero-shot recog- nition via structured prediction.
Recognizing Part Attributes with Insufficient Data Zero-shot recog- nition via structured prediction
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.087611Z
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 d35d75dd-fc0c-4ed7-acac-0bce5bf4be49 · outbound
This paper cites A Large-scale Attribute Dataset for Zero-shot Learning.
Recognizing Part Attributes with Insufficient Data A Large-scale Attribute Dataset for Zero-shot Learning
Reference 66
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T14:21:44.729906Z
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 1c5ce3b5-4d92-4e19-af96-5d0226d8f495 · outbound
This paper cites A modulation module for multi-task learning with applications in image retrieval.
Recognizing Part Attributes with Insufficient Data A modulation module for multi-task learning with applications in image retrieval
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.060945Z
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 299ab283-711e-4ee9-8f86-e43cbff45158 · outbound
This paper cites Pseudo mask augmented object detection.
Recognizing Part Attributes with Insufficient Data Pseudo mask augmented object detection
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:45.031328Z
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 7fc14a36-0714-4f1f-a24b-3d9668cf9879 · outbound
This paper cites Learning deep features for discrimi- native localization.
Recognizing Part Attributes with Insufficient Data Learning deep features for discrimi- native localization
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:44.993817Z
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 425a9433-99ab-4816-a2e5-a27532bddf72 · outbound
This paper cites Pedestrian attribute classification in surveillance: Database and evaluation.
Recognizing Part Attributes with Insufficient Data Pedestrian attribute classification in surveillance: Database and evaluation
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:21:44.966507Z
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.
Pith citing papers
No inbound Pith citation observations are available.