Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data | Paper Citation Record

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This paper cites GPT-4 Technical Report.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data GPT-4 Technical Report

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data VisMin: Visual Minimal-Change Understanding

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This paper cites ClearDepth: en- hanced stereo perception of transparent objects for robotic manipulation.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data ClearDepth: en- hanced stereo perception of transparent objects for robotic manipulation

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This paper cites Deep learners benefit more from out-of-distribution examples.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Deep learners benefit more from out-of-distribution examples

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Briaai background removal v1.4 model, 2024

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This paper cites In- structpix2pix: Learning to follow image editing instructions.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data In- structpix2pix: Learning to follow image editing instructions

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This paper cites Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks

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This paper cites Diversified in-domain synthesis with efficient fine-tuning for few-shot classification.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Diversified in-domain synthesis with efficient fine-tuning for few-shot classification

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This paper cites The value of out-of- distribution data.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data The value of out-of- distribution data

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This paper cites ImageNet: A large-scale hierarchical im- age database.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data ImageNet: A large-scale hierarchical im- age database

Reference 10

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This paper cites The MNIST database of handwritten digit images for machine learning research.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data The MNIST database of handwritten digit images for machine learning research

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This paper cites A Survey on In-context Learning.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data A Survey on In-context Learning

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

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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This paper cites Gonzalez, and Trevor Darrell.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Gonzalez, and Trevor Darrell

Reference 14

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This paper cites Deep genera- tive models for synthetic data: A survey.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Deep genera- tive models for synthetic data: A survey

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This paper cites Scaling laws of synthetic images for model training.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Scaling laws of synthetic images for model training

Reference 16

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This paper cites Instagen: Enhancing object detection by training on synthetic dataset.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Instagen: Enhancing object detection by training on synthetic dataset

Reference 17

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This paper cites Guiding Instruction-based Image Editing via Multimodal Large Language Models.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Guiding Instruction-based Image Editing via Multimodal Large Language Models

Reference 18

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This paper cites How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization

Reference 19

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This paper cites Synthetic data in health care: A narrative review.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Synthetic data in health care: A narrative review

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Generative adversarial networks

Reference 21

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This paper cites SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Deep residual learning for image recognition

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This paper cites Is synthetic data from generative models ready for image recognition?.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Is synthetic data from generative models ready for image recognition?

Reference 24

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This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 25

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Denoising diffu- sion probabilistic models

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data LoRA: Low-Rank Adaptation of Large Language Models

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data DataDream: Few-shot Guided Dataset Generation

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This paper cites DiffBlender: Composable and Versatile Multimodal Text-to-Image Diffusion Models.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data DiffBlender: Composable and Versatile Multimodal Text-to-Image Diffusion Models

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Auto-Encoding Variational Bayes

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Segment any- thing

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data 3d object representations for fine-grained categorization

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Towards understanding cross and self-attention in stable diffusion for text-guided image editing

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Visual instruction tuning

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Summary of chatgpt-related research and perspective towards the future of large language models

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Decoupled Weight Decay Regularization

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Repaint: Inpainting using denoising diffusion probabilistic models

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Inpainting using denoising diffusion probabilistic models

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Fine-Grained Visual Classification of Aircraft

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Backpropagating through Fr\'echet Inception Distance

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Context Diffusion: In-Context Aware Image Generation

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data DINOv2: Learning Robust Visual Features without Supervision

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Cats and dogs

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Learning transferable visual models from natural language supervi- sion

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data In- finigen indoors: Photorealistic indoor scenes using procedu- ral generation

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Zero-shot text-to-image generation

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data SAM 2: Segment Anything in Images and Videos

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data High-resolution image syn- thesis with latent diffusion models

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data U- Net: Convolutional networks for biomedical image segmen- tation

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

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Photorealistic text-to-image diffusion models with deep language understanding

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This paper cites Fake it till you make it: Learning trans- ferable representations from synthetic imagenet clones.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Fake it till you make it: Learning trans- ferable representations from synthetic imagenet clones

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This paper cites Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using dif- fusion models.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using dif- fusion models

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This paper cites Paint by example: Exemplar-based image editing with diffusion mod- els.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Paint by example: Exemplar-based image editing with diffusion mod- els

Reference 56

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Generalized out-of-distribution detection: A survey

Reference 57

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 58

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This paper cites Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images

Reference 59

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 60

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This paper cites Adding conditional control to text-to-image diffusion models.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Adding conditional control to text-to-image diffusion models

Reference 61

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This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data The unreasonable effectiveness of deep features as a perceptual metric

Reference 62

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Hive: Harnessing human feedback for instructional visual editing

Reference 63

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale

Reference 64

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Unresolved cited work

Reference 65

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Unresolved cited work

Reference 66

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This paper cites Positive Example: • Object Class: [CLASS] • Question: Provide five different [Attribute] for the object class, each accompanied by a concise visual description.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Positive Example: • Object Class: [CLASS] • Question: Provide five different [Attribute] for the object class, each accompanied by a concise visual description

Reference 67

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Unresolved cited work

Reference 68

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data inside a sun

Reference 69

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Reference 70

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Reference 71

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data In Context Learning Example

Reference 72

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Reference 73

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Unresolved cited work

Reference 74

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Unresolved cited work

Reference 75

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data unsuitable for pets

Reference 76

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Unresolved cited work

Reference 77

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data edit instruction

Reference 78

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