Papers - Image - Datasets - ImageNet
updated
All you need is a good init
Paper
• 1511.06422
• Published
• 1
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
Paper
• 2404.14507
• Published
• 23
Efficient Transformer Encoders for Mask2Former-style models
Paper
• 2404.15244
• Published
• 1
Deep Residual Learning for Image Recognition
Paper
• 1512.03385
• Published
• 12
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster
Pre-training on Web-scale Image-Text Data
Paper
• 2404.15653
• Published
• 29
MoDE: CLIP Data Experts via Clustering
Paper
• 2404.16030
• Published
• 15
Autoregressive Model Beats Diffusion: Llama for Scalable Image
Generation
Paper
• 2406.06525
• Published
• 71
Diffusion Models Beat GANs on Image Synthesis
Paper
• 2105.05233
• Published
• 2
Classifier-Free Diffusion Guidance
Paper
• 2207.12598
• Published
• 4
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Paper
• 1809.11096
• Published
• 1
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Paper
• 1707.02968
• Published
• 1
Data curation via joint example selection further accelerates multimodal
learning
Paper
• 2406.17711
• Published
• 3
Fixup Initialization: Residual Learning Without Normalization
Paper
• 1901.09321
• Published
• 1
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and
Out Distribution Robustness
Paper
• 2206.14502
• Published
• 1
Randomized Autoregressive Visual Generation
Paper
• 2411.00776
• Published
• 18
SLIP: Self-supervision meets Language-Image Pre-training
Paper
• 2112.12750
• Published
• 1
Generalized Out-of-Distribution Detection and Beyond in Vision Language
Model Era: A Survey
Paper
• 2407.21794
• Published
• 6
BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed
Dual-Branch Diffusion
Paper
• 2403.06976
• Published
• 2
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Paper
• 2203.03897
• Published
• 1
No More Adam: Learning Rate Scaling at Initialization is All You Need
Paper
• 2412.11768
• Published
• 43
Matryoshka Representation Learning
Paper
• 2205.13147
• Published
• 25