Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:46:00.290506Z
Paper Citation Record · LEDGER
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
As of 16 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:1908.06537.
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
54 of 54 outbound references displayed
- verified exact0
- verified fuzzy49
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 954e36e2-9c87-49ab-b6fb-5041fbf7b56c · outbound
This paper cites Dense semantic correspondence where every pixel is a classifier.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Dense semantic correspondence where every pixel is a classifier
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:01.050628Z
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 c9941350-1d81-469f-a302-27418f6ccd8c · outbound
This paper cites Detect what you can: De- tecting and representing objects using holistic models and body parts.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Detect what you can: De- tecting and representing objects using holistic models and body parts
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:01.035510Z
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 b5605077-c9c7-4bed-abbb-5fee935899d4 · outbound
This paper cites Learning graphs to match.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Learning graphs to match
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:01.005016Z
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 54a708da-dbf2-49a9-a59a-2a4328614895 · outbound
This paper cites Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.980570Z
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 6e3162b4-adfa-490c-8e00-a256280a50c0 · outbound
This paper cites Universal correspondence network.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Universal correspondence network
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.966898Z
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 eb8b006f-9130-428c-9e26-cd4af30ae479 · outbound
This paper cites Histograms of oriented gradi- ents for human detection.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Histograms of oriented gradi- ents for human detection
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.952448Z
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 28a4cb2f-ceae-44c1-a2e6-33529a5ac3b9 · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Imagenet: A large-scale hierarchical image database
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.939205Z
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 fda83724-5f6e-4db6-bc53-1754afbc7292 · outbound
This paper cites Approximate thin plate spline mappings.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Approximate thin plate spline mappings
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.926448Z
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 d272c252-e877-4895-b9da-687b2242ecfa · outbound
This paper cites an unresolved cited work.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T12:46:00.913663Z
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 a284438e-8bf6-4e95-8a54-eec3abca65c2 · outbound
This paper cites Hierarchical metric learning and matching for 2d and 3d geometric correspon- dences.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Hierarchical metric learning and matching for 2d and 3d geometric correspon- dences
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.900806Z
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 45e4e7bc-1560-4832-bd37-2484561e3f26 · outbound
This paper cites Learning gener- ative visual models from few training examples: An incre- mental bayesian approach tested on 101 object categories.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Learning gener- ative visual models from few training examples: An incre- mental bayesian approach tested on 101 object categories
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.887955Z
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 fdd2fbda-79a3-470a-8ccd-592c74b204f8 · outbound
This paper cites Deformable part models are convolutional neural net- works.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Deformable part models are convolutional neural net- works
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.874871Z
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 155fd1d6-52dd-425d-824b-80714360564f · outbound
This paper cites Caltech-256 object category dataset.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Caltech-256 object category dataset
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.861159Z
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 a95cee06-ad15-4403-b88d-332ccfb1b866 · outbound
This paper cites Proposal flow.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Proposal flow
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.847802Z
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 52854131-60bf-4c2e-a20a-0cad9cf13ae5 · outbound
This paper cites Proposal flow: Semantic correspondences from ob- ject proposals.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Proposal flow: Semantic correspondences from ob- ject proposals
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.833366Z
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 01a7f0b3-3779-4b11-a055-6176e22039e5 · outbound
This paper cites Scnet: Learning semantic correspondence.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Scnet: Learning semantic correspondence
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.819844Z
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 3150a1de-aca6-4b24-8200-9f8d6037dbf3 · outbound
This paper cites Semantic contours from inverse detectors.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Semantic contours from inverse detectors
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.807042Z
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 845f3a96-0bbb-49fd-9699-507dffe06f3e · outbound
This paper cites Hypercolumns for object segmentation and fine-grained localization.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Hypercolumns for object segmentation and fine-grained localization
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.792609Z
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 4c1ffce0-a007-4601-93bf-f492c5c69508 · outbound
This paper cites Deep residual learning for image recognition.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Deep residual learning for image recognition
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.778713Z
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 ba756c4f-00a2-4539-bf82-f8938ab7e6eb · outbound
This paper cites Parn: Pyramidal affine regression net- works for dense semantic correspondence.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Parn: Pyramidal affine regression net- works for dense semantic correspondence
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.765932Z
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 0109daa5-393a-4b69-9ee5-1a72efdb0393 · outbound
This paper cites Warpnet: Weakly supervised matching for single- view reconstruction.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Warpnet: Weakly supervised matching for single- view reconstruction
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.753274Z
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 03c790ec-605c-43e6-9ce5-8675005bb4ce · outbound
This paper cites De- formable spatial pyramid matching for fast dense correspon- dences.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features De- formable spatial pyramid matching for fast dense correspon- dences
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.740822Z
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 9c35aa14-f297-4780-a455-c9575f5e2cff · outbound
This paper cites Recurrent transformer networks for semantic correspondence.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Recurrent transformer networks for semantic correspondence
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.728771Z
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 7e040368-71c1-4629-bc38-d0d931ff0578 · outbound
This paper cites Fcss: Fully con- volutional self-similarity for dense semantic correspondence.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Fcss: Fully con- volutional self-similarity for dense semantic correspondence
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.715666Z
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 f67415ea-c565-481c-b338-69268e1f096f · outbound
This paper cites Dctm: Discrete-continuous transforma- tion matching for semantic flow.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Dctm: Discrete-continuous transforma- tion matching for semantic flow
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.703111Z
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 20826d8b-c51b-43a2-a423-cbaabcdd30c8 · outbound
This paper cites Hypernet: Towards accurate region proposal generation and joint object detection.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Hypernet: Towards accurate region proposal generation and joint object detection
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.689160Z
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 b87e81ae-60f1-48ef-800d-b0f36f194449 · outbound
This paper cites Imagenet classification with deep convolutional neural net- works.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Imagenet classification with deep convolutional neural net- works
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.676981Z
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 0c08261c-4ecc-49b8-9754-a71f634cc1c9 · outbound
This paper cites Semantic Matching by Weakly Supervised 2D Point Set Registration.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Semantic Matching by Weakly Supervised 2D Point Set Registration
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:46:00.176542Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 399c6b6a-58c6-4d81-be7a-a71a36fa9689 · outbound
This paper cites One-shot learning of object categories.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features One-shot learning of object categories
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.664762Z
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 c58c75ac-127c-4f07-9913-5c68255df7ce · outbound
This paper cites Feature pyramid networks for object detection.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Feature pyramid networks for object detection
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.652490Z
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 2201dd96-f23d-4e93-9b5c-f777bd94432b · outbound
This paper cites Jointly optimizing 3d model fitting and fine-grained classification.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Jointly optimizing 3d model fitting and fine-grained classification
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.640608Z
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 4a31cd6b-39fe-4ba3-b84d-c7793d022839 · outbound
This paper cites Sift flow: Dense correspondence across scenes and its applications.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Sift flow: Dense correspondence across scenes and its applications
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.628608Z
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 67625399-14be-41c0-81e4-eb52188d9776 · outbound
This paper cites DARTS: Differentiable architecture search.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features DARTS: Differentiable architecture search
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.615967Z
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 8163e004-28b3-4798-accb-7e99770c5716 · outbound
This paper cites Do con- vnets learn correspondence? In Proc.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Do con- vnets learn correspondence? In Proc
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.603546Z
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 cf52457f-999f-4ce9-99a0-120c22c7d037 · outbound
This paper cites Prime object proposals with randomized prim’s algorithm.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Prime object proposals with randomized prim’s algorithm
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.591370Z
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 680d63c0-8aa9-46c9-b75b-f94c5fd0dc82 · outbound
This paper cites Medress, F.S.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Medress, F.S
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.579643Z
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 7d9f69b1-d188-4ed3-a5a8-0d4d3af1cea9 · outbound
This paper cites Self-supervised learning of geometrically stable features through probabilistic introspection.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Self-supervised learning of geometrically stable features through probabilistic introspection
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.567304Z
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 de4c1e97-17e7-4a42-bcb0-83063dcbe498 · outbound
This paper cites I have seen enough: Transferring parts across categories.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features I have seen enough: Transferring parts across categories
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.555935Z
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 b8ed8c28-5479-4af0-991f-a7f35cc8be98 · outbound
This paper cites An- chornet: A weakly supervised network to learn geometry- sensitive features for semantic matching.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features An- chornet: A weakly supervised network to learn geometry- sensitive features for semantic matching
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.543540Z
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 0b9fe979-657f-4f13-87a1-82c29bfdcdb4 · outbound
This paper cites Multiscale combinatorial grouping for image segmentation and object proposal gener- ation.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Multiscale combinatorial grouping for image segmentation and object proposal gener- ation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.531060Z
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 a9d43556-4e5a-4c7b-ba81-dc858e102d13 · outbound
This paper cites Convo- lutional neural network architecture for geometric matching.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Convo- lutional neural network architecture for geometric matching
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.518803Z
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 868c8cea-0a85-4ac1-bf83-d42fe626ae03 · outbound
This paper cites End-to- end weakly-supervised semantic alignment.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features End-to- end weakly-supervised semantic alignment
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.506599Z
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 94ce9214-163d-45f9-b541-aef2634f7f76 · outbound
This paper cites Neighbourhood con- sensus networks.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Neighbourhood con- sensus networks
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.492498Z
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 3ad9d188-d572-44b7-ae3e-200e6f5e78f2 · outbound
This paper cites Unsupervised joint object discovery and segmentation in internet images.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Unsupervised joint object discovery and segmentation in internet images
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.478953Z
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 09fbf33c-815d-4f6d-ba99-899b90fc2466 · outbound
This paper cites Attentive semantic alignment with offset-aware correlation kernels.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Attentive semantic alignment with offset-aware correlation kernels
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.464353Z
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 bfad372e-89df-44f5-a946-91ea4276f0bb · outbound
This paper cites Joint re- covery of dense correspondence and cosegmentation in two images.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Joint re- covery of dense correspondence and cosegmentation in two images
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.452012Z
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 a2771d98-bbf4-41a8-b830-5cc878c95c14 · outbound
This paper cites Deep semantic feature matching.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Deep semantic feature matching
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.439471Z
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 d1559bcb-2ee0-4a4b-9710-33283ba81241 · outbound
This paper cites Selective search for ob- ject recognition.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Selective search for ob- ject recognition
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.426408Z
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 38230954-7a18-439b-b651-d447f2469f87 · outbound
This paper cites an unresolved cited work.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Unresolved cited work
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:46:00.269344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aad45cb2-8e30-4265-b0e7-738d323c020e · outbound
This paper cites Beyond pascal: A benchmark for 3d object detection in the wild.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Beyond pascal: A benchmark for 3d object detection in the wild
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.404426Z
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 bab47ca8-2e5d-47d5-8571-d99a63fec14b · outbound
This paper cites Exploring Randomly Wired Neural Networks for Image Recognition.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Exploring Randomly Wired Neural Networks for Image Recognition
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:46:00.277262Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc2dff21-df04-45ad-9615-db9fe5a4f59a · outbound
This paper cites FlowWeb: Joint image set alignment by weaving con- sistent, pixel-wise correspondences.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features FlowWeb: Joint image set alignment by weaving con- sistent, pixel-wise correspondences
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.388879Z
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 166d10f7-757a-4b18-8699-be3edaaaeb47 · outbound
This paper cites Neural architecture search with reinforcement learning.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Neural architecture search with reinforcement learning
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:46:00.373850Z
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 8da0d8ef-8828-400c-9390-3e24a9a2bdb2 · outbound
This paper cites an unresolved cited work.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T12:46:00.358177Z
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.