SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation | Paper Citation Record

Observation 3d79ff68-7740-49ba-b682-30377f50cf98 · outbound

This paper cites The caltech-ucsd birds-200- 2011 dataset.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation The caltech-ucsd birds-200- 2011 dataset

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.574175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a5c29d7d-04a8-402d-90a6-42521e1cf5b2 · outbound

This paper cites 3d object representations for fine-grained categorization.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation 3d object representations for fine-grained categorization

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.547554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7eca756f-f527-4bb9-a91a-dd032e07ae9a · outbound

This paper cites Bilinear cnn models for fine-grained visual recognition.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Bilinear cnn models for fine-grained visual recognition

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.526092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 49f744ff-2ecc-4828-8dd0-7fe9b1a9b543 · outbound

This paper cites Compact bilinear pooling.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Compact bilinear pooling

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.500081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 91b9d425-d16a-47d3-b3a6-f92dc5398c06 · outbound

This paper cites Learning partial correlation based deep visual representation for image classification.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Learning partial correlation based deep visual representation for image classification

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.473877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 88f9e222-5613-412e-87c3-8547d8bb48a9 · outbound

This paper cites Learning multi-attention convolutional neural network for fine-grained image recognition.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Learning multi-attention convolutional neural network for fine-grained image recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.441538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ae55e34d-8fdb-4201-9bcc-3ed573c91b2a · outbound

This paper cites Selective sparse sampling for fine-grained image recognition.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Selective sparse sampling for fine-grained image recognition

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.408260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation da2535c6-a20b-4460-be7c-11a976929f3e · outbound

This paper cites See better before looking closer: Weakly supervised data augmentation network for fine-grained visual classification, 2019.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation See better before looking closer: Weakly supervised data augmentation network for fine-grained visual classification, 2019

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.382605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation edcabf0b-9b67-4bb3-9002-98767251765d · outbound

This paper cites Counterfactual attention learning for fine-grained visual categorization and re-identification.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Counterfactual attention learning for fine-grained visual categorization and re-identification

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.360676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d6bc0ee9-a299-4bd7-b9c1-e50f428fcbb9 · outbound

This paper cites Category attention transfer for efficient fine-grained visual categorization.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Category attention transfer for efficient fine-grained visual categorization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.339993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cc63756b-5e52-4247-963f-1340b067eeac · outbound

This paper cites Sr-gnn: Spatial relation- aware graph neural network for fine-grained image categorization.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Sr-gnn: Spatial relation- aware graph neural network for fine-grained image categorization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.318869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 67d2fa11-9846-43e4-aad7-b2b8bb87702e · outbound

This paper cites Image Data Augmentation for Deep Learning: A Survey.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Image Data Augmentation for Deep Learning: A Survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.000337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fa4817d-fa40-4c3c-9af0-66e41c28b97c · outbound

This paper cites Denoising diffusion probabilistic models.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Denoising diffusion probabilistic models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.006958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f215231-a3f6-41c7-b46a-696f7ba972ec · outbound

This paper cites Is synthetic data from generative models ready for image recognition? In The Eleventh International Conference on Learning Representations, 2023.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Is synthetic data from generative models ready for image recognition? In The Eleventh International Conference on Learning Representations, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.282934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a1a1fec2-2899-427e-96ad-db419368fae2 · outbound

This paper cites Squeezed bilinear pooling for fine-grained visual categorization.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Squeezed bilinear pooling for fine-grained visual categorization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.261089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b1296aef-01fe-49eb-bf4a-d66f40a89251 · outbound

This paper cites Multi-attention multi-class constraint for fine-grained image recognition.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Multi-attention multi-class constraint for fine-grained image recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.233960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e24778e6-2e90-4407-ba28-69f984c98ddb · outbound

This paper cites Learning attentive pairwise interaction for fine-grained classification.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Learning attentive pairwise interaction for fine-grained classification

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.201901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 60a6c9f0-f270-4c79-abe8-93dc42198fb3 · outbound

This paper cites Attention is all you need.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Attention is all you need

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.054648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 531ec3ed-45dd-4759-92ea-bd6d689bb512 · outbound

This paper cites Feature Fusion Vision Transformer for Fine-Grained Visual Categorization.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Feature Fusion Vision Transformer for Fine-Grained Visual Categorization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.061356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6fcf440-4715-4f63-a458-123b43f5a233 · outbound

This paper cites Sim-trans: Structure information modeling transformer for fine- grained visual categorization.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Sim-trans: Structure information modeling transformer for fine- grained visual categorization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.165133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b2d8b845-c40a-40f1-8c61-9661fcaf67a5 · outbound

This paper cites Transfg: A transformer architecture for fine-grained recognition.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Transfg: A transformer architecture for fine-grained recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.148908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4aee11a0-378e-427d-8c87-2e7778edba08 · outbound

This paper cites MetaFormer: A Unified Meta Framework for Fine-Grained Recognition.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation MetaFormer: A Unified Meta Framework for Fine-Grained Recognition

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.090907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc57e441-ba29-4e89-95ba-8d12b033a494 · outbound

This paper cites A free lunch from vit: Adaptive attention multi-scale fusion transformer for fine-grained visual recognition.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation A free lunch from vit: Adaptive attention multi-scale fusion transformer for fine-grained visual recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.128887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4b00e296-62b2-4078-b15a-b4be6c48759a · outbound

This paper cites Flownet: Learning optical flow with convolutional networks.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Flownet: Learning optical flow with convolutional networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.102683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11fd473e-74ba-4d3c-afcb-791b5dc48a5b · outbound

This paper cites Playing for data: Ground truth from computer games.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Playing for data: Ground truth from computer games

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.084690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2aa22d90-cf8c-43cd-a361-15d201a7cd29 · outbound

This paper cites VisDA: The Visual Domain Adaptation Challenge.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation VisDA: The Visual Domain Adaptation Challenge

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.125309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02925bf9-9c6b-4ee1-84c2-6db546acb8e4 · outbound

This paper cites This dataset does not exist: training models from generated images.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation This dataset does not exist: training models from generated images

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:23.064695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f6e9b55e-5f40-40a5-a242-eb27bd10df57 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation A style-based generator architecture for generative adversarial networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.139686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2e3523a-b729-4863-a007-04f0fa55300f · outbound

This paper cites Generative Models as a Data Source for Multiview Representation Learning.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Generative Models as a Data Source for Multiview Representation Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.145803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 455b28e5-ee73-436a-87be-62ebef9ba19c · outbound

This paper cites VideoComposer: Compositional Video Synthesis with Motion Controllability.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation VideoComposer: Compositional Video Synthesis with Motion Controllability

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.155785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a497d2cf-8b6e-4e51-8dd2-8ebc1b7cc613 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation High-resolution image synthesis with latent diffusion models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.161330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb2b0ade-ebb1-4c4b-befe-b8b18a9cdf1f · outbound

This paper cites I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.172872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 447b452d-aeb6-4323-a4e0-66417bd82e5f · outbound

This paper cites Learning transferable visual models from natural language supervision.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Learning transferable visual models from natural language supervision

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.184348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fcd5cad-17d8-40e8-baf1-c711a426549d · outbound

This paper cites Taming transformers for high-resolution image synthesis.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Taming transformers for high-resolution image synthesis

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.192128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f09c893c-92ce-4b29-80d5-425386343740 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Imagenet: A large-scale hierarchical image database

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.198693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3de43f10-8444-4ac1-b592-7bda98c36cbd · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Fine-Grained Visual Classification of Aircraft

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.204997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcb50cce-0eed-4d25-8e9a-558386a6c175 · outbound

This paper cites Generative latent implicit conditional optimization when learning from small sample.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Generative latent implicit conditional optimization when learning from small sample

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:22.965073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b16201ad-4bb4-42cb-8395-659ca3a1aac7 · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.214587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc624426-dec1-4f27-b884-a71cb9bfc25e · outbound

This paper cites Deep residual learning for image recognition.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Deep residual learning for image recognition

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.220898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a305e066-a833-4ee8-b0a5-dbbd8db55810 · outbound

This paper cites Rethinking the inception architecture for computer vision.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Rethinking the inception architecture for computer vision

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.225709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 601a1fc2-962d-478f-a241-435557ff4c7a · outbound

This paper cites Api-net: Robust generative classifier via a single discriminator.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Api-net: Robust generative classifier via a single discriminator

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:22.912482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8694deb0-85ba-4ffc-9200-52782747d7b4 · outbound

This paper cites Densely connected convolutional networks.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Densely connected convolutional networks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.236354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9f60e75-dca0-40be-8cbb-f4366834eed3 · outbound

This paper cites Elope: Fine-grained visual classification with efficient localization, pooling and embedding.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Elope: Fine-grained visual classification with efficient localization, pooling and embedding

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:22.864953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 19404254-031d-460e-8fbf-d556eb657e70 · outbound

This paper cites Attribute mix: semantic data augmentation for fine grained recognition.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Attribute mix: semantic data augmentation for fine grained recognition

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:22.824621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ba024a9b-cbe2-4bbc-ba67-3bd2a6aa13e4 · outbound

This paper cites Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:01:22.393429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2224ac25-308d-45d1-9ac1-9b242a3fd9ba · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.260505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89fbdc76-5e6b-4c3c-bd0b-114036e24d17 · outbound

This paper cites Context-aware attentional pooling (cap) for fine-grained visual classification.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Context-aware attentional pooling (cap) for fine-grained visual classification

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:22.802935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ddd1c9ae-0dcc-4d9b-9a1b-275672dbdbe3 · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Xception: Deep learning with depthwise separable convolutions

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.271602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80f72241-e92f-4e72-8f17-c644f2cbdca0 · outbound

This paper cites 10,000 species recognition challenge with inaturalist data.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation 10,000 species recognition challenge with inaturalist data

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:22.754799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e19e7fdb-2bbc-4a7e-b8e2-47f36d3c7576 · outbound

This paper cites Convnext v2: Co-designing and scaling convnets with masked autoencoders.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Convnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.284174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2a51054-e7c9-447f-87f7-b92a9d7bfd84 · outbound

This paper cites Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:22.288453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb7a3b3e-07bd-49e3-a428-d7b8cc0a3ab0 · outbound

This paper cites Random erasing data augmentation.

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Random erasing data augmentation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:01:22.705705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers