Visual Lexicon: Rich Image Features in Language Space | Paper Citation Record

Observation fa53fbcf-cfba-451d-b919-ac685e9b21d2 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Visual Lexicon: Rich Image Features in Language Space Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

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This paper cites BEit: BERT pre-training of image transformers.

Visual Lexicon: Rich Image Features in Language Space BEit: BERT pre-training of image transformers

Reference 2

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Observation 8110e71e-2571-433c-812b-960dd4e6a763 · outbound

This paper cites Label-efficient se- mantic segmentation with diffusion models.

Visual Lexicon: Rich Image Features in Language Space Label-efficient se- mantic segmentation with diffusion models

Reference 3

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Observation 11a12ab5-d0aa-4f21-b0e2-42b25e537971 · outbound

This paper cites Generalized denoising auto-encoders as generative models.

Visual Lexicon: Rich Image Features in Language Space Generalized denoising auto-encoders as generative models

Reference 4

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Observation 2bf1a14f-f047-4925-b72f-44ddb677ce87 · outbound

This paper cites Improving image generation with better captions.

Visual Lexicon: Rich Image Features in Language Space Improving image generation with better captions

Reference 5

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Observation 187cf068-12cc-4afb-89fd-f1b572370631 · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

Visual Lexicon: Rich Image Features in Language Space PaliGemma: A versatile 3B VLM for transfer

Reference 6

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Observation a7233933-ab07-44fb-91cf-bdef1edd0a01 · outbound

This paper cites Language Models are Few-Shot Learners.

Visual Lexicon: Rich Image Features in Language Space Language Models are Few-Shot Learners

Reference 7

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Observation 34f3191c-b220-4d09-b037-40fae470963c · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

Visual Lexicon: Rich Image Features in Language Space Emerg- ing properties in self-supervised vision transformers

Reference 8

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Observation 1cf3a614-1b2c-4dd0-b362-f39cbf9c9fa8 · outbound

This paper cites Generative pre- training from pixels.

Visual Lexicon: Rich Image Features in Language Space Generative pre- training from pixels

Reference 9

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Observation ed4090ed-fc6a-48d9-acaf-358c37ae14e3 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Visual Lexicon: Rich Image Features in Language Space Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 10

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Observation 4471d54f-f548-4395-83ad-6a7ecc68b03c · outbound

This paper cites PaLI: A Jointly-Scaled Multilingual Language-Image Model.

Visual Lexicon: Rich Image Features in Language Space PaLI: A Jointly-Scaled Multilingual Language-Image Model

Reference 11

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Observation 5ed146b8-028f-4577-a6e2-05d74d7da021 · outbound

This paper cites Deconstructing Denoising Diffusion Models for Self-Supervised Learning.

Visual Lexicon: Rich Image Features in Language Space Deconstructing Denoising Diffusion Models for Self-Supervised Learning

Reference 12

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Observation 7541b5ae-c73c-49bb-853f-026e0c757138 · outbound

This paper cites Reproducible scal- ing laws for contrastive language-image learning.

Visual Lexicon: Rich Image Features in Language Space Reproducible scal- ing laws for contrastive language-image learning

Reference 13

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Observation 5f2108ee-e53b-4aaa-9503-3a674420d1c9 · outbound

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

Visual Lexicon: Rich Image Features in Language Space Imagenet: A large-scale hierarchical image database

Reference 14

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Observation 03c98d72-164b-46e9-8f91-76a18d6c12ef · outbound

This paper cites Large scale adversarial representation learning.

Visual Lexicon: Rich Image Features in Language Space Large scale adversarial representation learning

Reference 15

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Observation dfbf0931-9762-45ec-a0db-b6e1c13dcffa · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Visual Lexicon: Rich Image Features in Language Space An image is worth 16x16 words: Transformers for image recognition at scale

Reference 16

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Observation 6ccb5774-6814-46c8-833f-2be2bdda1bf9 · outbound

This paper cites A new algorithm for data compression.

Visual Lexicon: Rich Image Features in Language Space A new algorithm for data compression

Reference 17

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Observation af91a1d3-e1e5-4ffb-918d-634b705575b9 · outbound

This paper cites An image is worth one word: Personalizing text-to-image gen- eration using textual inversion.

Visual Lexicon: Rich Image Features in Language Space An image is worth one word: Personalizing text-to-image gen- eration using textual inversion

Reference 18

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Observation 1d414d07-28c6-4f8d-89ae-da66703c8d72 · outbound

This paper cites Instructcv: Instruction- tuned text-to-image diffusion models as vision generalists.

Visual Lexicon: Rich Image Features in Language Space Instructcv: Instruction- tuned text-to-image diffusion models as vision generalists

Reference 19

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Observation 9ebe5898-7155-478e-9f7c-984e83ac06bf · outbound

This paper cites Imagebind: One embedding space to bind them all.

Visual Lexicon: Rich Image Features in Language Space Imagebind: One embedding space to bind them all

Reference 20

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Observation 8fcdbec4-24b4-4a5d-9cd8-4672cdd60922 · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing.

Visual Lexicon: Rich Image Features in Language Space Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing

Reference 21

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Observation 3d9bdb7a-b3b2-4aba-8c93-62428a98577e · outbound

This paper cites Vizwiz grand challenge: Answering visual questions from blind people.

Visual Lexicon: Rich Image Features in Language Space Vizwiz grand challenge: Answering visual questions from blind people

Reference 22

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Observation dfda47b2-9d57-4352-bc29-30acf26db66c · outbound

This paper cites Masked autoencoders are scalable vision learners.

Visual Lexicon: Rich Image Features in Language Space Masked autoencoders are scalable vision learners

Reference 23

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Observation 7bc44f81-38ce-4805-bc07-4364fc897ec9 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Visual Lexicon: Rich Image Features in Language Space Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 24

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Observation ec23e6a0-1c94-4aab-a2a6-dc8159441e07 · outbound

This paper cites Autoencoders, mini- mum description length and helmholtz free energy.Advances in neural information processing systems, 6, 1993.

Visual Lexicon: Rich Image Features in Language Space Autoencoders, mini- mum description length and helmholtz free energy.Advances in neural information processing systems, 6, 1993

Reference 25

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Observation f8c2c37b-6659-46f5-b568-2aeafbbc2a9a · outbound

This paper cites Classifier-free diffusion guidance.

Visual Lexicon: Rich Image Features in Language Space Classifier-free diffusion guidance

Reference 26

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Observation 38770467-6fb6-47fe-a205-3d69acc679aa · outbound

This paper cites Denoising dif- fusion probabilistic models.

Visual Lexicon: Rich Image Features in Language Space Denoising dif- fusion probabilistic models

Reference 27

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Observation bd3f989b-bf23-49db-b91e-65274e5f4643 · outbound

This paper cites SciCap: Generating Captions for Scientific Figures.

Visual Lexicon: Rich Image Features in Language Space SciCap: Generating Captions for Scientific Figures

Reference 28

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Observation 77acda40-70fd-45e1-8a62-9ffb034197ec · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Visual Lexicon: Rich Image Features in Language Space LoRA: Low-Rank Adaptation of Large Language Models

Reference 29

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Observation 820a3d38-192c-4903-8b28-2b68487e3ded · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.

Visual Lexicon: Rich Image Features in Language Space Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 30

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Observation 214ad2ed-739b-401b-a78e-4a7e7ceb5abb · outbound

This paper cites Soda: Bottleneck diffusion models for representation learning.

Visual Lexicon: Rich Image Features in Language Space Soda: Bottleneck diffusion models for representation learning

Reference 31

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Observation d048583f-2d3a-4248-995e-33dbe42e710a · outbound

This paper cites Open- clip, 2021.

Visual Lexicon: Rich Image Features in Language Space Open- clip, 2021

Reference 32

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Observation cbb5b517-af0f-4458-aca6-fa74ef836242 · outbound

This paper cites Referitgame: Referring to objects in pho- tographs of natural scenes.

Visual Lexicon: Rich Image Features in Language Space Referitgame: Referring to objects in pho- tographs of natural scenes

Reference 33

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Observation 48d02701-c186-4f6d-a14f-6b27347adc43 · outbound

This paper cites Auto-Encoding Variational Bayes.

Visual Lexicon: Rich Image Features in Language Space Auto-Encoding Variational Bayes

Reference 34

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Observation 5722e5a2-58b1-469f-8f16-4016ff76d8ee · outbound

This paper cites Your diffusion model is secretly a zero-shot classifier.

Visual Lexicon: Rich Image Features in Language Space Your diffusion model is secretly a zero-shot classifier

Reference 35

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This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Visual Lexicon: Rich Image Features in Language Space LLaVA-OneVision: Easy Visual Task Transfer

Reference 36

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Observation 0f506868-c561-40dd-ba55-39aa22e4f875 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for uni- fied vision-language understanding and generation.

Visual Lexicon: Rich Image Features in Language Space Blip: Bootstrapping language-image pre-training for uni- fied vision-language understanding and generation

Reference 37

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Observation 2881563e-06ee-46ce-a4d5-84293a2247eb · outbound

This paper cites ImageFolder: Autoregressive Image Generation with Folded Tokens.

Visual Lexicon: Rich Image Features in Language Space ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 38

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This paper cites Vila: On pre-training for visual language models.

Visual Lexicon: Rich Image Features in Language Space Vila: On pre-training for visual language models

Reference 39

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Observation 51f159c9-6975-4607-9083-ce26e41d3649 · outbound

This paper cites Microsoft coco: Common objects in context.

Visual Lexicon: Rich Image Features in Language Space Microsoft coco: Common objects in context

Reference 40

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Observation 31ef5b21-af4d-4adb-af7c-7cf765f11b39 · outbound

This paper cites Improved baselines with visual instruction tuning.

Visual Lexicon: Rich Image Features in Language Space Improved baselines with visual instruction tuning

Reference 41

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This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.

Visual Lexicon: Rich Image Features in Language Space Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 42

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Observation 16f3383e-3957-4fb6-87bd-f7260ef7f4b9 · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

Visual Lexicon: Rich Image Features in Language Space Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 43

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Observation e9a4194e-ccde-4b59-b7a6-20b105456862 · outbound

This paper cites Prompting hard or hardly prompting: Prompt inversion for text-to-image diffusion models.

Visual Lexicon: Rich Image Features in Language Space Prompting hard or hardly prompting: Prompt inversion for text-to-image diffusion models

Reference 44

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Observation 2c298753-c6e2-42fc-aa86-fc2884543f2c · outbound

This paper cites Generation and comprehension of unambiguous object descriptions.

Visual Lexicon: Rich Image Features in Language Space Generation and comprehension of unambiguous object descriptions

Reference 45

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Observation 11192204-bfe0-41cd-99de-3e2e4013ef88 · outbound

This paper cites Ok-vqa: A visual question answering 10 benchmark requiring external knowledge.

Visual Lexicon: Rich Image Features in Language Space Ok-vqa: A visual question answering 10 benchmark requiring external knowledge

Reference 46

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Observation 343df608-9cd4-4d54-8b63-dabefd91fb01 · outbound

This paper cites Finite scalar quantization: Vq-vae made simple.

Visual Lexicon: Rich Image Features in Language Space Finite scalar quantization: Vq-vae made simple

Reference 47

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Observation 7e9a96d0-4db1-4a8f-85d1-d0e9c6846b71 · outbound

This paper cites Null-text inversion for editing real im- ages using guided diffusion models.

Visual Lexicon: Rich Image Features in Language Space Null-text inversion for editing real im- ages using guided diffusion models

Reference 48

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This paper cites Improved denoising diffusion probabilistic models.

Visual Lexicon: Rich Image Features in Language Space Improved denoising diffusion probabilistic models

Reference 49

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Observation c3683f6d-6730-4d9f-b0d9-bcad9a0e70ad · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Visual Lexicon: Rich Image Features in Language Space DINOv2: Learning Robust Visual Features without Supervision

Reference 50

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This paper cites Styleclip: Text-driven manipulation of stylegan imagery.

Visual Lexicon: Rich Image Features in Language Space Styleclip: Text-driven manipulation of stylegan imagery

Reference 51

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This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

Visual Lexicon: Rich Image Features in Language Space Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 52

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This paper cites Learn- ing transferable visual models from natural language super- vision.

Visual Lexicon: Rich Image Features in Language Space Learn- ing transferable visual models from natural language super- vision

Reference 53

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Observation 07ccb4c7-7fe7-4226-9664-470eb4c50e37 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Visual Lexicon: Rich Image Features in Language Space Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 54

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This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Visual Lexicon: Rich Image Features in Language Space Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 55

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

Visual Lexicon: Rich Image Features in Language Space High-resolution image syn- thesis with latent diffusion models

Reference 56

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Observation 1741204b-4a84-47fc-8dc5-cca29e09855f · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Visual Lexicon: Rich Image Features in Language Space U-net: Convolutional networks for biomedical image segmentation

Reference 57

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Observation e9180746-7448-4671-93cd-2e7235e8e822 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Visual Lexicon: Rich Image Features in Language Space Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 58

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Observation 726ffdd5-ad93-4285-875c-1b79fdb9ee05 · outbound

This paper cites Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models.

Visual Lexicon: Rich Image Features in Language Space Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:22:56.751649Z

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Observation b21586a3-038e-4654-ad79-7db984e8432f · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Visual Lexicon: Rich Image Features in Language Space Photorealistic text-to-image diffusion models with deep language understanding

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:22:56.730199Z

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Observation 9cb61f0b-e9c7-4677-80ee-4c886789ddef · outbound

This paper cites Progressive distillation for fast sampling of diffusion models.

Visual Lexicon: Rich Image Features in Language Space Progressive distillation for fast sampling of diffusion models

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:22:56.711979Z

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Observation e1062836-6fdf-430a-b5fe-b1e2ceafd75c · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Visual Lexicon: Rich Image Features in Language Space Neural Machine Translation of Rare Words with Subword Units

Reference 62

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Observation dbb4e182-7d1f-47d6-aba4-56cd33b86dd6 · outbound

This paper cites Adafactor: Adaptive learning rates with sublinear memory cost.

Visual Lexicon: Rich Image Features in Language Space Adafactor: Adaptive learning rates with sublinear memory cost

Reference 63

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Observation 98c570c5-8c58-4703-9090-7ceb5fd670a4 · outbound

This paper cites Textcaps: a dataset for image caption- ing with reading comprehension.

Visual Lexicon: Rich Image Features in Language Space Textcaps: a dataset for image caption- ing with reading comprehension

Reference 64

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This paper cites Towards vqa models that can read.

Visual Lexicon: Rich Image Features in Language Space Towards vqa models that can read

Reference 65

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Observation 40168739-51f3-494d-82b2-52916c5d5d37 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Visual Lexicon: Rich Image Features in Language Space Deep unsupervised learning using nonequilibrium thermodynamics

Reference 66

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Observation 9d5d67f3-4ce2-4d40-8d65-5b72cb5ddac6 · outbound

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Visual Lexicon: Rich Image Features in Language Space Generative modeling by esti- mating gradients of the data distribution

Reference 67

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Observation c0291128-0b6e-4d13-b777-f912c63b328c · outbound

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Visual Lexicon: Rich Image Features in Language Space Rethinking the inception archi- tecture for computer vision

Reference 68

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Visual Lexicon: Rich Image Features in Language Space Gemma: Open Models Based on Gemini Research and Technology

Reference 69

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Visual Lexicon: Rich Image Features in Language Space Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset

Reference 70

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Visual Lexicon: Rich Image Features in Language Space Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 71

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Observation 3617e7a4-14ec-4c25-9ab0-df3055614c94 · outbound

This paper cites Con- trastive multiview coding.

Visual Lexicon: Rich Image Features in Language Space Con- trastive multiview coding

Reference 72

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Visual Lexicon: Rich Image Features in Language Space Extracting and composing robust features with denoising autoencoders

Reference 73

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Visual Lexicon: Rich Image Features in Language Space Diffusion Feedback Helps CLIP See Better

Reference 74

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Visual Lexicon: Rich Image Features in Language Space Unsupervised feature learning by cross-level instance-group discrimina- tion

Reference 75

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Observation cefa8917-1ddc-48fc-8ebb-d62875f10f97 · outbound

This paper cites De-diffusion makes text a strong cross- modal interface.

Visual Lexicon: Rich Image Features in Language Space De-diffusion makes text a strong cross- modal interface

Reference 76

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Observation d6b9ab6d-99e3-45f6-abac-85d7c6cd926e · outbound

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Visual Lexicon: Rich Image Features in Language Space Unsupervised feature learning via non-parametric instance discrimination

Reference 77

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Observation ea83b458-1ff4-4fb3-aa0f-d4a9ebc34188 · outbound

This paper cites Msr-vtt: A large video description dataset for bridging video and language.

Visual Lexicon: Rich Image Features in Language Space Msr-vtt: A large video description dataset for bridging video and language

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:22:56.427896Z

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Observation c8af8a4d-ca0b-4740-8d1b-0dc86c4cc6d6 · outbound

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Visual Lexicon: Rich Image Features in Language Space Open-vocabulary panop- tic segmentation with text-to-image diffusion models

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:22:56.401306Z

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Observation 13b41e26-cd54-491f-a928-9d7d24d32d7a · outbound

This paper cites Diffusion model as repre- sentation learner.

Visual Lexicon: Rich Image Features in Language Space Diffusion model as repre- sentation learner

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:22:56.371408Z

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Observation 8ef7244e-c05c-46dc-8b6c-94b0e5886f8e · outbound

This paper cites Vector-quantized image modeling with improved vqgan.

Visual Lexicon: Rich Image Features in Language Space Vector-quantized image modeling with improved vqgan

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:22:56.343354Z

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Observation cfc5324d-733c-4bbe-9044-d46b3037695a · outbound

This paper cites Coca: Contrastive captioners are image-text foundation models.

Visual Lexicon: Rich Image Features in Language Space Coca: Contrastive captioners are image-text foundation models

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:22:56.320682Z

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Observation 17770810-7065-4cf0-9f7f-97014c3b3370 · outbound

This paper cites Modeling context in referring expres- sions.

Visual Lexicon: Rich Image Features in Language Space Modeling context in referring expres- sions

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:22:56.298202Z

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Observation cf55616b-e5eb-4651-afb4-d0794ba586d7 · outbound

This paper cites Spae: Semantic pyramid autoencoder for multimodal generation with frozen llms.

Visual Lexicon: Rich Image Features in Language Space Spae: Semantic pyramid autoencoder for multimodal generation with frozen llms

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:22:56.273396Z

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Observation e45783fa-396d-4806-9a3c-bc9e234330df · outbound

This paper cites Language model beats diffusion–tokenizer is key to visual generation.

Visual Lexicon: Rich Image Features in Language Space Language model beats diffusion–tokenizer is key to visual generation

Reference 85

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Observation fbda5d99-2584-4952-9df4-2b260fc56b0d · outbound

This paper cites An image is worth 32 tokens for reconstruction and generation.

Visual Lexicon: Rich Image Features in Language Space An image is worth 32 tokens for reconstruction and generation

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:22:56.232376Z

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Observation 9cfe70ec-22c6-428e-8c94-9b9fd7270e0a · outbound

This paper cites Soundstream: An end- to-end neural audio codec.

Visual Lexicon: Rich Image Features in Language Space Soundstream: An end- to-end neural audio codec

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:22:56.207434Z

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Observation 69467f88-3b85-4b8c-ba8d-eb8f8942aaf0 · outbound

This paper cites Sigmoid loss for language image pre-training.

Visual Lexicon: Rich Image Features in Language Space Sigmoid loss for language image pre-training

Reference 88

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Observation 2e2c4c98-8c3b-434a-857d-ddd25aef3edd · outbound

This paper cites Image and Video Tokenization with Binary Spherical Quantization.

Visual Lexicon: Rich Image Features in Language Space Image and Video Tokenization with Binary Spherical Quantization

Reference 89

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