Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:17:26.779322Z
Paper Citation Record · LEDGER
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
As of 18 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2505.05091.
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 2026-08-18T06:34:40.430872+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
64 of 64 outbound references displayed
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- verified fuzzy52
- unresolved10
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5852a6b2-d9fb-4514-80e4-dec7a95ec7fe · outbound
This paper cites On the unreasonable vulnerability of transformers for image restoration-and an easy fix.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions On the unreasonable vulnerability of transformers for image restoration-and an easy fix
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7dee57ae-8df0-4096-915f-c22394d5b975 · outbound
This paper cites Improving stability during upsampling – on the importance of spatial context, 2023.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Improving stability during upsampling – on the importance of spatial context, 2023
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 25e40b61-4e9f-4ba0-ae96-a458ee889f6e · outbound
This paper cites Beware of Aliases -- Signal Preservation is Crucial for Robust Image Restoration.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Beware of Aliases -- Signal Preservation is Crucial for Robust Image Restoration
Reference 3
- Resolution
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Source-reported events for the cited work
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Observation 374feadf-33d9-45f2-aebf-6570fff418df · outbound
This paper cites CosPGD: an efficient white-box adversarial attack for pixel- wise prediction tasks.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions CosPGD: an efficient white-box adversarial attack for pixel- wise prediction tasks
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation 9bd8749e-9860-468d-afb8-35db8388ff19 · outbound
This paper cites Roll the dice: Monte carlo downsampling as a low-cost adversarial defence, 2024.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Roll the dice: Monte carlo downsampling as a low-cost adversarial defence, 2024
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 62575ebd-3f9d-46de-bf86-acd8011cb933 · outbound
This paper cites Flowbench: A robustness benchmark for optical flow estimation, 2025.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Flowbench: A robustness benchmark for optical flow estimation, 2025
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dd8d35f6-d2b1-4fbd-a428-6ab4a884a6d9 · outbound
This paper cites Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions? In CVPR Workshop On Synthetic Data for Computer Vision,.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions? In CVPR Workshop On Synthetic Data for Computer Vision,
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e84c0bb8-e2f4-410f-8764-2ed04588f361 · outbound
This paper cites Frod: Robust object detection for free.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Frod: Robust object detection for free
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation 36bcfe06-f097-4070-9609-c45d2ebd7da6 · outbound
This paper cites Butler, Jonas Wulff, Garrett B.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Butler, Jonas Wulff, Garrett B
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 3293737f-a7f9-4f73-8c37-94dc2e48506a · outbound
This paper cites Deep learning-based incorporation of planar constraints for robust stereo depth estimation in au- tonomous vehicle applications.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Deep learning-based incorporation of planar constraints for robust stereo depth estimation in au- tonomous vehicle applications
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 02ecd537-f37d-4e44-84b2-d80ee8084089 · outbound
This paper cites The cityscapes dataset for semantic urban scene understanding, 2016.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions The cityscapes dataset for semantic urban scene understanding, 2016
Reference 11
- Resolution
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Source-reported events for the cited work
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Observation dde98290-c22e-43f2-a337-0c06e150a8fd · outbound
This paper cites RobustBench: a standardized adversarial robustness benchmark.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions RobustBench: a standardized adversarial robustness benchmark
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3bb1bbc7-fe50-4d67-b0d5-79dac6588cbb · outbound
This paper cites Sp2 net for generalized zero-label seman- tic segmentation.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Sp2 net for generalized zero-label seman- tic segmentation
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b3d3a523-bbb0-4b7f-820a-b08c8477ac22 · outbound
This paper cites Weakly-supervised domain adaptive semantic segmentation with prototypical contrastive learning.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Weakly-supervised domain adaptive semantic segmentation with prototypical contrastive learning
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation 647e2e20-b1ae-41a3-9494-02ca36d756f0 · outbound
This paper cites Robust object detection in extreme construction conditions.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Robust object detection in extreme construction conditions
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b14a226d-5672-4e63-a41d-5cca493d3224 · outbound
This paper cites Adversarially-aware robust object detector.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Adversarially-aware robust object detector
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7d66a80d-192e-4f02-b6f9-8eac9f85ef43 · outbound
This paper cites Flownet: Learning optical flow with convolutional networks.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Flownet: Learning optical flow with convolutional networks
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 180915b5-8411-4931-a8be-4a5ed378de3c · outbound
This paper cites CARLA: An open urban driving simulator.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions CARLA: An open urban driving simulator
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 129cc19a-b685-4fbb-9440-b5106d0f6711 · outbound
This paper cites How Do Training Methods Influence the Utilization of Vision Models?.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions How Do Training Methods Influence the Utilization of Vision Models?
Reference 19
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation f4bc0c44-d36e-42e9-92df-75f4b4712401 · outbound
This paper cites Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 14cd3996-43eb-4273-b5f3-9973a5659d9d · outbound
This paper cites Wichmann.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Wichmann
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation a07ad5ea-e81b-4440-99ef-a4ada14b6575 · outbound
This paper cites Explaining and harnessing adversarial examples.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Explaining and harnessing adversarial examples
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 50914646-e013-45b9-8a90-53199edf2b08 · outbound
This paper cites Robust models are less over-confident.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Robust models are less over-confident
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c5decc6a-a2b8-449a-90b8-f5280812a5bf · outbound
This paper cites Frequencylowcut pooling-plug and play against catas- trophic overfitting.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Frequencylowcut pooling-plug and play against catas- trophic overfitting
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e72c4fd8-0309-4915-beea-e1979a4e1e62 · outbound
This paper cites Alias- ing and adversarial robust generalization of cnns.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Alias- ing and adversarial robust generalization of cnns
Reference 25
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 1d0efceb-bb83-4271-9f8a-19413b66ce99 · outbound
This paper cites Group-wise correlation stereo network.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Group-wise correlation stereo network
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 40e093f5-69ec-414c-a91b-d0fdbef3359c · outbound
This paper cites OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline
Reference 27
- Resolution
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Source-reported events for the cited work
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Observation 041b85fe-d06d-424c-a772-69ba6fd57bfa · outbound
This paper cites LightStereo: Channel Boost Is All You Need for Efficient 2D Cost Aggregation.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions LightStereo: Channel Boost Is All You Need for Efficient 2D Cost Aggregation
Reference 28
- Resolution
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Source-reported events for the cited work
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Observation ca154160-8d54-4165-aa45-0426be865ff2 · outbound
This paper cites Stereo anything: Unifying stereo matching with large- scale mixed data.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Stereo anything: Unifying stereo matching with large- scale mixed data
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation cdf04bb8-8bc2-4ac1-8f74-c0be27dac2b4 · outbound
This paper cites Robust object detection in challeng- ing weather conditions.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Robust object detection in challeng- ing weather conditions
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f1727e57-7064-462e-bb33-0333e56093fa · outbound
This paper cites Benchmarking neu- ral network robustness to common corruptions and perturba- tions.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Benchmarking neu- ral network robustness to common corruptions and perturba- tions
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6725073c-a00c-4975-928b-705a99d2628d · outbound
This paper cites Cubuk, Barret Zoph, Justin Gilmer, and Balaji Lakshminarayanan.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Cubuk, Barret Zoph, Justin Gilmer, and Balaji Lakshminarayanan
Reference 32
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3526b08f-59ba-4b12-a89b-1bb9a9519dc4 · outbound
This paper cites Towards improving robustness of compressed cnns.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Towards improving robustness of compressed cnns
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b8672933-2590-497f-92c9-734f8eeec891 · outbound
This paper cites 3d common corruptions and data augmentation.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions 3d common corruptions and data augmentation
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ec5fb610-906a-41df-9322-69dfb91aa8a5 · outbound
This paper cites Goodfellow, and Samy Bengio.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Goodfellow, and Samy Bengio
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cec1d0cc-e004-4688-8249-92862b8588f0 · outbound
This paper cites Ad- versarial examples in the physical world.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Ad- versarial examples in the physical world
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 13a29f85-c2a2-448d-a998-d11d74ca3ee3 · outbound
This paper cites Intra-source style augmentation for improved domain gener- alization.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Intra-source style augmentation for improved domain gener- alization
Reference 37
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8e2e2665-13f0-4649-94e7-4ebfcce554cc · outbound
This paper cites Adversarial supervision makes layout-to-image diffusion models thrive.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Adversarial supervision makes layout-to-image diffusion models thrive
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.436316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 265856d6-622f-42fe-9eb6-f1ac114c56af · outbound
This paper cites Creighton, Russell H.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Creighton, Russell H
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.420889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ba85b56c-9f8f-430c-9f26-fc6befe86372 · outbound
This paper cites Global occlusion-aware transformer for robust stereo matching.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Global occlusion-aware transformer for robust stereo matching
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.406192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 343f3709-3555-4601-a520-795aa7c62269 · outbound
This paper cites A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.390025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7b23b60f-f2bd-47ea-91ef-c908531e01ef · outbound
This paper cites Towards Class-wise Robustness Analysis.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Towards Class-wise Robustness Analysis
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7e29e08-d4da-474d-8301-11f0384409e2 · outbound
This paper cites Fair-tat: Improving model fairness using targeted adversarial train- ing.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Fair-tat: Improving model fairness using targeted adversarial train- ing
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.373924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aaea68dd-69de-44ca-835b-6a5cd3ed9816 · outbound
This paper cites Object scene flow for au- tonomous vehicles.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Object scene flow for au- tonomous vehicles
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.359475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ccf63b28-447d-463b-bf45-fecfc2166ba7 · outbound
This paper cites Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Reference 45
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation edcc2a02-bc08-4de3-90da-4f94dcfbdf21 · outbound
This paper cites Fast high-resolution disparity estimation for laparoscopic surgery.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Fast high-resolution disparity estimation for laparoscopic surgery
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.344521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f41abbb1-8cac-42bf-bfac-aad8a4f346b0 · outbound
This paper cites Towards Robust and Resilient Machine Learning.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Towards Robust and Resilient Machine Learning
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.328858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 94f155f4-1ece-4654-a249-1e326214f83d · outbound
This paper cites Msdesis: Multitask stereo disparity estimation and surgical instrument segmen- tation.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Msdesis: Multitask stereo disparity estimation and surgical instrument segmen- tation
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.314623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 563d11b6-336f-42fe-bb09-ac5684a5ccd7 · outbound
This paper cites LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving
Reference 49
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3113dfb9-89f9-4df9-8669-1d240e8a3619 · outbound
This paper cites ACDC: The adverse conditions dataset with correspondences for se- mantic driving scene understanding.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions ACDC: The adverse conditions dataset with correspondences for se- mantic driving scene understanding
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.299391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f124bf13-1a4b-4556-8ab5-37f0966cd58b · outbound
This paper cites Detection defenses: An empty promise against adver- sarial patch attacks on optical flow.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Detection defenses: An empty promise against adver- sarial patch attacks on optical flow
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.283962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 357a6590-6d76-4ded-9d01-baaf526f7aec · outbound
This paper cites At- tacking motion estimation with adversarial snow.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions At- tacking motion estimation with adversarial snow
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.269339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 36944384-4905-4ce6-9bfe-b38ecfef8bbe · outbound
This paper cites A perturbation-constrained adversarial attack for evaluating the robustness of optical flow.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions A perturbation-constrained adversarial attack for evaluating the robustness of optical flow
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.253955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7bc7754a-0157-4ebd-b015-610a3fbfbcbd · outbound
This paper cites Airsim: High-fidelity visual and physical simula- tion for autonomous vehicles.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Airsim: High-fidelity visual and physical simula- tion for autonomous vehicles
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.239613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c168462e-e2aa-4d11-8a4a-3f9d773998f2 · outbound
This paper cites Cfnet: Cascade and fused cost volume for robust stereo matching.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Cfnet: Cascade and fused cost volume for robust stereo matching
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.224027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a72a068d-fd33-40d4-8bb3-e16e5ed9d2a9 · outbound
This paper cites Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:17:26.738954Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4157dda0-a4fb-4bfc-b7d9-24f0eef28640 · outbound
This paper cites Task driven sensor layouts-joint optimiza- tion of pixel layout and network parameters.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Task driven sensor layouts-joint optimiza- tion of pixel layout and network parameters
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.207452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7cc70fa2-5915-4e01-acd9-479e9b6d1dfb · outbound
This paper cites RobustART: Benchmarking Robustness on Architecture Design and Training Techniques.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:17:26.748813Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7a91111-1a5f-4728-8de8-464cd6c4941b · outbound
This paper cites Fast is better than free: Revisiting adversarial training.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Fast is better than free: Revisiting adversarial training
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:17:26.753762Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e4f6e1d-fc2e-4253-9bb1-2c5db077f75a · outbound
This paper cites Disparity estimation of stereo-endoscopic images us- ing deep generative network.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Disparity estimation of stereo-endoscopic images us- ing deep generative network
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.190050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 04a56b34-d273-4560-b641-09848f8620e9 · outbound
This paper cites Improving 2d feature representations by 3d-aware fine-tuning.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Improving 2d feature representations by 3d-aware fine-tuning
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.173338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3e00268d-a0a0-471e-bd5f-35028420d8cc · outbound
This paper cites Robust synthetic-to-real transfer for stereo matching.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Robust synthetic-to-real transfer for stereo matching
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.157729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aa86862e-45a1-4147-91e7-1b50f140fc58 · outbound
This paper cites Robust stereo matching with surface normal prediction.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Robust stereo matching with surface normal prediction
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:17:27.142790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 58c091d1-ce40-4cef-8a4f-a0b9071a77a6 · outbound
This paper cites in the wild.
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions in the wild
Reference 2017
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-15T23:17:27.127308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.